Detecting colorectal neoplasm

ABSTRACT

Provided herein is technology relating to detecting neoplasia and particularly, but not exclusively, to methods, compositions, and related uses for detecting premalignant and malignant neoplasms such as colorectal cancer.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No.14/669,834, filed Mar. 26, 2015, which claims priority to U.S.Provisional Patent Application No. 61/977,954, filed Apr. 10, 2014, andU.S. Provisional Patent Application No. 61/972,942 filed Mar. 31, 2014,the contents of which are incorporated by reference in their entireties.

FIELD OF INVENTION

Provided herein is technology relating to detecting neoplasia andparticularly, but not exclusively, to methods, compositions, and relateduses for detecting premalignant and malignant neoplasms such ascolorectal cancer.

BACKGROUND

Colorectal cancer remains the 2^(nd) most common cancer in U.S. men andwomen combined (Siegel R, et al., C A Cancer J Clin 2013; 63:11-30). Theunderlying biology of progression from precursor lesion to cancer lendsitself favorably to screening (Vogelstein B, et al., Science 2013;339:1546-58). Evidence supports and guidelines endorse any of severaltests and strategies (Levin B, et al., Gastroenterology 2008;134:1570-95; Rex D K, et al., Am J Gastroenterol 2009; 104:739-50; KarlJ, et al., Clin Gastroenterol Hepatol 2008; 6:1122-8). From a societalperspective, screening is considered cost-effective (Karl J, et al.,Clin Gastroenterol Hepatol 2008; 6:1122-8; Heitman S J, et al., PLoS Med2010; 7:e1000370; Parekh M, et al., Aliment Pharmacol Ther 2008;27:697-712; Sharaf R N, et al., Am J Gastroenterol 2013; 108:120-32).

Colorectal cancer arises from accumulated genetic and epigeneticalterations, providing a basis for analysis of stool for tumor-specificchanges (Berger B M, et al., Pathology 2012; 44:80-8). Previouslarge-scale studies of early generation stool-based DNA tests in thescreening setting demonstrated only fair sensitivity for colorectalcancer and low sensitivity for advanced adenomas (Ahlquist D A, et al.,Ann Intern Med 2008; 149:441-50, W81; Imperiale T F, et al., N Engl JMed 2004; 351:2704-14). Important advances have since been incorporated,including a stabilizing buffer (Boynton K A, et al., Clin Chem 2003;49:1058-65; Zou H, et al., Cancer Epidemiol Biomarkers Prev 2006;15:1115-9), more discriminant markers (Ahlquist D A, et al.,Gastroenterology 2012; 142:248-56; Bardan E, et al., Israel journal ofmedical sciences 1997; 33:777-80), platforms with higher analyticsensitivity (Ahlquist D A, et al., Gastroenterology 2012; 142:248-56;Aronchick C A, et al., Gastrointestinal endoscopy 2000; 52:346-52),result determination using a logistic regression analysis rather thanindividual marker values, and automation.

Although screening reduces colorectal cancer mortality (Mandel J S, etal., N Engl J Med. 1993, 328:1365-71; Hardcastle J D, et al., Lancet.1996, 348:1472-7; Kronborg O, et al., Scand J Gastroenterol. 2004,39:846-51; Winawer S J, et al., J Natl Cancer Inst. 1993, 85:1311-8;Singh H, et al., JAMA. 2006, 295:2366-73), observed reductions have beenmodest (Singh H, et al., JAMA. 2006; 295, 2366-73; Heresbach D, et al.,Eur J Gastroenterol Hepatol. 2006, 18:427-33) and more than one half ofadults in the United States have not received screening (Meissner H I,Cancer Epidemiol Biomarkers Prev. 2006, 15:389-94).

An emerging approach to cancer screening involves the assay oftumor-specific DNA alterations in bodily samples from cancer patients,such as stool, serum, and urine (Osborn N K, Ahlquist D A.Gastroenterology 2005; 128:192-206; Ahlquist D A, et al.,Gastroenterology 2000; 119:1219-27; Ahlquist D A, et al.,Gastroenterology 2002; 122:Suppl A40; Chen W D, et al., J Natl CancerInst 2005; 97:1124-32; Zou H, et al., Cancer Epidemiol Biomarkers Prev2006; 15:1115-9; Zou H Z, Clin Cancer Res 2002; 8:188-91; Hoque M O, JClin Oncol 2005; 23:6569-75; Belinsky S A, et al., Cancer Res 2006;66:3338-44; Itzkowitz S H, et al., Clin Gastroenterol Hepatol 2007;5:111-7′ Kann L, et al., Clin Chem 2006; 52:2299-302). It is importantto select markers with high accuracy if efficiency and effectiveness areto be achieved in a cancer screening application. Due to the molecularheterogeneity of colorectal neoplasia, high detection rates oftenrequire a panel of markers.

Several methylated genes have been detected in the stool andserum/plasma samples from colorectal cancer patients (Ahlquist D A,Gastroenterology 2002; 122:Suppl A40; Chen W D, et al., J Natl CancerInst 2005; 97:1124-32; Zou H Z, et al., Clin Cancer Res 2002; 8:188-91;Itzkowitz S H, et al., Clin Gastroenterol Hepatol 2007; 5:111-7; PetkoZ, et al., Clin Cancer Res 2005; 11:1203-9; Muller H M, et al., Lancet2004; 363:1283-5; Leung W K, et al., Clin Chem 2004; 50:2179-82; Ebert MP, et al., Gastroenterology 2006; 131:1418-30; Grady W M, et al., CancerRes 2001; 61:900-2). Whereas some methylated genes have been found in amajority of colorectal cancers, the yield of bodily fluid-based assaysremains suboptimal (Ahlquist D A, et al., Gastroenterology 2002; 122.Suppl A40; Chen W D, et al., J Natl Cancer Inst 2005; 97:1124-32; Zou H,et al., Cancer Epidemiol Biomarkers Prev 2006; 15.1115-9; Zou H Z, ClinCancer Res 2002; 8:188-91; Belinsky S A, et al., Cancer Res 2006;66:3338-44; Itzkowitz S H, et al., Clin Gastroenterol Hepatol 2007;5:111-7; Kann L, et al., Clin Chem 2006; 52:2299-302; Petko Z, et al.,Clin Cancer Res 2005; 11:1203-9; Muller H M, et al., Lancet 2004;363:1283-5; Leung W K, et al., Clin Chem 2004; 50:2179-82; Ebert M P, etal., Gastroenterology 2006; 131:1418-30; Grady W M, et al., Cancer Res2001; 61:900-2).

More accurate, user-friendly, and widely distributable tools to improvescreening effectiveness, acceptability, and access are needed.

SUMMARY

Methylated DNA has been studied as a potential class of biomarkers inthe tissues of most tumor types. In many instances, DNAmethyltransferases add a methyl group to DNA atcytosine-phosphate-guanine (CpG) island sites as an epigenetic controlof gene expression. In a biologically attractive mechanism, acquiredmethylation events in promoter regions of tumor suppressor genes arethought to silence expression, thus contributing to oncogenesis. DNAmethylation may be a more chemically and biologically stable diagnostictool than RNA or protein expression (Laird (2010) Nat Rev Genet 11:191-203). Furthermore, in cancers such as sporadic colon cancer,methylation markers offer excellent specificity and are more broadlyinformative and sensitive than are individual DNA mutations (Zou et al(2007) Cancer Epidemiol Biomarkers Prev 16: 2686-96).

Analysis of CpG islands has yielded important findings when applied toanimal models and human cell lines. For example, Zhang and colleaguesfound that amplicons from different parts of the same CpG island mayhave different levels of methylation (Zhang et al. (2009) PLoS Genet 5:e1000438). Further, methylation levels were distributed bi-modallybetween highly methylated and unmethylated sequences, further supportingthe binary switch-like pattern of DNA methyltransferase activity (Zhanget al. (2009) PLoS Genet 5: e1000438). Analysis of murine tissues invivo and cell lines in vitro demonstrated that only about 0.3% of highCpG density promoters (HCP, defined as having >7% CpG sequence within a300 base pair region) were methylated, whereas areas of low CpG density(LCP, defined as having <5% CpG sequence within a 300 base pair region)tended to be frequently methylated in a dynamic tissue-specific pattern(Meissner et al. (2008) Nature 454: 766-70). HCPs include promoters forubiquitous housekeeping genes and highly regulated developmental genes.Among the HCP sites methylated at >50% were several established markerssuch as Wnt 2, NDRG2, SFRP2, and BMP3 (Meissner et al. (2008) Nature454: 766-70).

Methylated genes have been detected in the blood and stool of patientswith colorectal cancer and proposed as candidate screening markers(Ahlquist D A, et al., Gastroenterology 2002; 122. Suppl A40; Chen W D,et al., J Natl Cancer Inst 2005; 97:1124-32; Zou H Z, Clin Cancer Res2002; 8:188-91; Itzkowitz S H, et al., Clin Gastroenterol Hepatol 2007;5:111-7; Kann L, et al., Clin Chem 2006; 52:2299-302; Petko Z, et al.,Clin Cancer Res 2005; 11:1203-9; Muller H M, et al., Lancet 2004;363:1283-5; Leung W K, et al., Clin Chem 2004; 50:2179-82; Ebert M P, etal., Gastroenterology 2006; 131:1418-30; Grady W M, et al., Cancer Res2001; 61:900-2).

Zou and colleagues, for example, evaluated genes frequently methylatedin colorectal neoplasia to identify the most discriminant ones (Zou, etal., 2007 Cancer Epidemiol Biomarkers Prev. 16(12):2686-2696). Fourgenes specifically methylated in colorectal cancer (bone morphogeneticprotein 3 (BMP3), EYA2, aristaless-like homeobox-4 (ALX4), and vimentin)were selected from 41 candidate genes and evaluated on 74 cancers, 62adenomas, and 70 normal epithelia. Methylation status was analyzedqualitatively and quantitatively and confirmed by bisulfite genomicsequencing. Effect of methylation on gene expression was evaluated infive colon cancer cell lines. K-ras and BRAF mutations were detected bysequencing. Methylation of BMP3, EYA2, ALX4, or vimentin was detectedrespectively in 66%, 66%, 68%, and 72% of cancers; 74%, 48%, 89%, and84% of adenomas; and 7%, 5%, 11%, and 11% of normal epithelia (P<0.01,cancer or adenoma versus normal). It was concluded that BMP3, EYA2,ALX4, and vimentin genes are methylated in most colorectal neoplasms butrarely in normal epithelia.

Cancer screening is in need of a marker or marker panel for colorectalcancer that is broadly informative and exhibits high specificity forcolorectal cancer at the tissue level when interrogated in samples takenfrom a subject (e.g., a stool sample; a colorectal tissue sample).

Accordingly, provided herein is technology for colorectal cancerscreening markers that provide a high signal-to-noise ratio and a lowbackground level when detected from samples taken from a subject (e.g.,a stool sample; a colorectal tissue sample; serum sample; blood or bloodproduct).

In experiments conducted during the course of developing embodiments forthe present invention, markers were identified in a case-control studiesby comparing the methylation state of DNA markers from colorectal tissueof subjects with colorectal neoplasia, adenoma, and/or sessile serratedpolyps (SSP) to the methylation state of the same DNA markers fromcontrol subjects (e.g., normal tissue such as normal colon) (see,Example 1, Table 1A and B).

For example, experiments conducted during the course of developingembodiments for the present invention demonstrated NDRG4, BMP3, OPLAH,FLI1, PDGFD, SFMBT2 (e.g., SFMBT2_895, SFMBT2_896, SFMBT2_897), CHST2(e.g., CHST2_7889, and CHST2_7890), VAV3, and DTX1 as effective markersfor detecting colorectal cancer within stool samples (see, Example 1 andTable 1A and B).

As described herein, the technology provides a number of methylated DNAmarkers and subsets thereof (e.g., sets of 2, 3, 4, 5, 6, 7, 8, 9, 10,11, 12 or more markers) with high discrimination for colorectalneoplasia (e.g., colorectal cancer, adenoma, SSP). Experiments applied aselection filter to candidate markers to identify markers that provide ahigh signal to noise ratio and a low background level to provide highspecificity, e.g., when assaying distant media (e.g., stool, blood,urine, metastatic tissue, etc.) for purposes of colorectal cancerscreening or diagnosis. As such, the technology provides for specificmarkers and marker combinations for purposes of colorectal cancerscreening or diagnosis.

In some embodiments, the technology is related to assessing the presenceof and methylation state of one or more of the markers identified hereinin a biological sample. These markers comprise one or moredifferentially methylated regions (DMR) as discussed herein, e.g., asprovided in Table 1A and B. Methylation state is assessed in embodimentsof the technology. As such, the technology provided herein is notrestricted in the method by which a gene's methylation state ismeasured. For example, in some embodiments the methylation state ismeasured by a genome scanning method. For example, one method involvesrestriction landmark genomic scanning (Kawai et al. (1994) Mol. Cell.Biol. 14: 7421-7427) and another example involves methylation-sensitivearbitrarily primed PCR (Gonzalgo et al. (1997) Cancer Res. 57: 594-599).In some embodiments, changes in methylation patterns at specific CpGsites are monitored by digestion of genomic DNA withmethylation-sensitive restriction enzymes followed by Southern analysisof the regions of interest (digestion-Southern method). In someembodiments, analyzing changes in methylation patterns involves aPCR-based process that involves digestion of genomic DNA withmethylation-sensitive restriction enzymes prior to PCR amplification(Singer-Sam et al. (1990) Nucl. Acids Res. 18: 687). In addition, othertechniques have been reported that utilize bisulfite treatment of DNA asa starting point for methylation analysis. These includemethylation-specific PCR (MSP) (Herman et al. (1992) Proc. Natl. Acad.Sci. USA 93: 9821-9826) and restriction enzyme digestion of PCR productsamplified from bisulfite-converted DNA (Sadri and Hornsby (1996) Nucl.Acids Res. 24: 5058-5059; and Xiong and Laird (1997) Nucl. Acids Res.25: 2532-2534). PCR techniques have been developed for detection of genemutations (Kuppuswamy et al. (1991) Proc. Natl. Acad. Sci. USA 88:1143-1147) and quantification of allelic-specific expression (Szabo andMann (1995) Genes Dev. 9: 3097-3108; and Singer-Sam et al. (1992) PCRMethods Appl. 1: 160-163). Such techniques use internal primers, whichanneal to a PCR-generated template and terminate immediately 5′ of thesingle nucleotide to be assayed. Methods using a “quantitative Ms-SNuPEassay” as described in U.S. Pat. No. 7,037,650 are used in someembodiments.

Upon evaluating a methylation state, the methylation state is oftenexpressed as the fraction or percentage of individual strands of DNAthat is methylated at a particular site (e.g., at a single nucleotide,at a particular region or locus, at a longer sequence of interest, e.g.,up to a˜100-bp, 200-bp, 500-bp, 1000-bp subsequence of a DNA or longer)relative to the total population of DNA in the sample comprising thatparticular site. Traditionally, the amount of the unmethylated nucleicacid is determined by PCR using calibrators. Then, a known amount of DNAis bisulfite treated and the resulting methylation-specific sequence isdetermined using either a real-time PCR or other exponentialamplification, e.g., a QuARTS assay (e.g., as provided by U.S. Pat. Nos.8,361,720, 8,916,344; and U.S. Pat. Appl. Pub. Nos. 2012/0122088 and2012/0122106).

For example, in some embodiments methods comprise generating a standardcurve for the unmethylated target by using external standards. Thestandard curve is constructed from at least two points and relates thereal-time Ct value for unmethylated DNA to known quantitative standards.Then, a second standard curve for the methylated target is constructedfrom at least two points and external standards. This second standardcurve relates the Ct for methylated DNA to known quantitative standards.Next, the test sample Ct values are determined for the methylated andunmethylated populations and the genomic equivalents of DNA arecalculated from the standard curves produced by the first two steps. Thepercentage of methylation at the site of interest is calculated from theamount of methylated DNAs relative to the total amount of DNAs in thepopulation, e.g., (number of methylated DNAs)/(the number of methylatedDNAs+ number of unmethylated DNAs)×100.

According to another aspect of the present invention, neoplasia of abiological sample is indicated when a methylation ratio of one or moreDNA methylation markers relative to a level of bisulfite-treated DNAcopy number of a reference gene is different, wherein the one or moreDNA methylation markers comprises a base in a differentially methylatedregion (DMR) as provided in Table 1A and B. The methylation ratioincludes the ratio of the methylation level of the DNA methylationmarker and the level of a region in a reference gene determined by thesame means used for the determination of the methylation level of thebiomarker. Usually, the methylation ratio is represented by the ratio ofthe methylation level of the DNA methylation marker and the level of aregion in a reference gene determined by the same means used for thedetermination of the methylation level of the DNA methylation marker.

In some embodiments, the methylation ratio is the ratio of themethylation level of a DNA methylation marker and the level of a regionof a reference gene, both of which are quantitatively measured usingreal-time polymerase chain reaction (PCR). For example, the methylationlevel of a DNA methylation marker from a sample of a subject can bequantitatively measured using a pair of primers and an oligonucleotideprobe, where one primer, both primers, the oligonucleotide probe, orboth primers and the oligonucleotide probe are capable of distinguishingbetween methylated and unmethylated nucleic acid, e.g., after thenucleic acid being modified by a modifying agent, e.g., bisulfiteconverting unmethylated cytosine to a converted nucleic acid.

The region of a reference gene of the present invention can be anyregion of a gene having one or more sites or regions that are devoid ofmethylation sites, e.g., devoid of CpG dinucleotides. For example, theregion of a reference gene can be a region that having two primerbinding sites for amplification such as PCR that are devoid of CpGdinucleotdies or a region having at least one specific oligonucleotideprobe binding site for real-time PCR that is devoid of CpGdinucleotides. In one aspect, the region of a reference gene of thepresent invention is a region of MYOD gene. In another aspect, theregion of a reference gene of the present invention is a region of ACTBgene. In yet another embodiment, the region of a reference gene of thepresent invention is a region that is not frequently subject to copynumber alterations, such as gene amplification or deletion.

In general, according to the present invention the level of a region ofa reference gene is quantitatively measured using real-time PCR withprimers and specific probes that specifically bind to sites afterbisulfite conversion but without discriminating directly or indirectlythe methylation status of the sites.

In certain embodiments, methods for detecting neoplasm in a subject areprovided. Such methods comprise, for example, obtaining a samplecomprising DNA from a subject; treating the obtained DNA with a reagentwhich selectively modifies unmethylated cytosine residues in theobtained DNA to produce modified residues but which does not modifymethylated cytosine residues; determining the methylation level of oneor more DNA methylation markers in the DNA having undergone the treatingof step b), wherein one or more DNA methylation markers comprises a basein a differentially methylated region (DMR) as provided in Table 1A andB; comparing the determined methylation level of the one or more DNAmethylation markers with methylation level references for the one ormore DNA methylation markers for subjects not having neoplasm; andidentifying the subject as having neoplasm when the methylation state ofor more of the DNA methylation markers is different than a methylationstate of the marker assayed in a subject that does not have a neoplasm.

In some embodiments, a determination of elevated methylation in one ormore of the DNA methylation markers comprises a determination of alteredmethylation within a region selected from the group consisting of a CpGisland and a CpG island shore.

In some embodiments, a determination of elevated methylation within saidCpG island or CpG shore comprises elevated methylation within a codingregion or a regulatory region of the DNA methylation marker.

In some embodiments, the determining the methylation level of one ormore DNA methylation markers in the DNA having undergone the treating ofstep b) comprises determining the methylation score and/or themethylation frequency of the one or more DNA methylation markers.

In some embodiments, the treating of step b) is accomplished throughbisulfite modification of the obtained DNA.

In some embodiments, the determining the methylation level of one ormore DNA methylation markers in the DNA having undergone the treating ofstep b) is achieved by a technique selected from the group consisting ofmethylation-specific PCR, quantitative methylation-specific PCR,methylation-sensitive DNA restriction enzyme analysis, quantitativebisulfite pyrosequencing, and bisulfite genomic sequencing PCR.

In some embodiments, the neoplasm is colorectal cancer, a largecolorectal adenoma, and/or a sessile serrated polyp.

In certain embodiments, methods for detecting neoplasm in a subject areprovided. Such embodiments comprise, for example, determining amethylation ratio of a sample from a subject, wherein the methylationratio is the level of methylation of a bisulfite-treated region of oneor more DNA methylation markers relative to a level of bisulfite-treatedDNA copy number of a reference gene, wherein the one or more DNAmethylation markers comprises a base in a differentially methylatedregion (DMR) as provided in Table 1A and B, wherein the reference geneis MYOD or ACTB, identifying the subject as having neoplasm when themethylation ratio of one or more of the DNA methylation markers isdifferent than the methylation ratio of the respective marker assayed ina subject that does not have a neoplasm.

In some embodiments, level of methylation is determined by usingreal-time polymerase chain reaction (PCR). In some embodiments, thelevel of methylation is determined by using real-time polymerase chainreaction (PCR), wherein at least one primer used in the PCR is capableof distinguishing between unmethylated and methylated nucleic acid. Insome embodiments, the level of methylation is determined by usingreal-time polymerase chain reaction (PCR), wherein both primers used inthe PCR are capable of distinguishing between unmethylated andmethylated nucleic acid. In some embodiments, the level of methylationis determined by using real-time polymerase chain reaction (PCR),wherein a probe used in the PCR is capable of distinguishing betweenunmethylated and methylated nucleic acid. In some embodiments, the levelof methylation is determined by using real-time polymerase chainreaction (PCR), wherein both primers and a probe used in the PCR arecapable of distinguishing between unmethylated and methylated nucleicacid. In some embodiments, the level of the region in the reference geneis determined by using real-time polymerase chain reaction (PCR). Insome embodiments, the level of the region in the reference gene isdetermined by using real-time polymerase chain reaction (PCR), whereinthe region contains a first and second primer binding site and a probebinding site and wherein the first and second primer binding site andthe probe binding site are devoid of CpG dinucleotides. In someembodiments, the region in the reference gene is devoid of CpGdinucleotides.

Also provided herein are compositions and kits for practicing themethods. For example, in some embodiments, reagents (e.g., primers,probes) specific for one or more markers are provided alone or in sets(e.g., sets of primers pairs for amplifying a plurality of markers).Additional reagents for conducting a detection assay may also beprovided (e.g., enzymes, buffers, positive and negative controls forconducting QuARTS, PCR, sequencing, bisulfite, or other assays). In someembodiments, the kits containing one or more reagent necessary,sufficient, or useful for conducting a method are provided. Alsoprovided are reactions mixtures containing the reagents. Furtherprovided are master mix reagent sets containing a plurality of reagentsthat may be added to each other and/or to a test sample to complete areaction mixture.

In some embodiments, the technology described herein is associated witha programmable machine designed to perform a sequence of arithmetic orlogical operations as provided by the methods described herein. Forexample, some embodiments of the technology are associated with (e.g.,implemented in) computer software and/or computer hardware. In oneaspect, the technology relates to a computer comprising a form ofmemory, an element for performing arithmetic and logical operations, anda processing element (e.g., a microprocessor) for executing a series ofinstructions (e.g., a method as provided herein) to read, manipulate,and store data. In some embodiments, a microprocessor is part of asystem for determining a methylation state (e.g., of one or more DMR,e.g. as provided in Table 1A and B); comparing methylation states (e.g.,of one or more DMR, e.g. as provided in Table 1A and B); generatingstandard curves; determining a Ct value; calculating a fraction,frequency, or percentage of methylation (e.g., of one or more DMR, e.g.as provided in Table 1A and B); identifying a CpG island; determining aspecificity and/or sensitivity of an assay or marker; calculating an ROCcurve and an associated AUC; sequence analysis; all as described hereinor is known in the art.

In some embodiments, a software or hardware component receives theresults of multiple assays and determines a single value result toreport to a user that indicates a cancer risk based on the results ofthe multiple assays (e.g., determining the methylation state of multipleDMR, e.g. as provided in Table 1A and B). Related embodiments calculatea risk factor based on a mathematical combination (e.g., a weightedcombination, a linear combination) of the results from multiple assays,e.g., determining the methylation states of multiple markers (such asmultiple DMR, e.g. as provided in Table 1A and B). In some embodiments,the methylation state of a DMR defines a dimension and may have valuesin a multidimensional space and the coordinate defined by themethylation states of multiple DMR is a result, e.g., to report to auser, e.g., related to a colorectal cancer risk.

Some embodiments comprise a storage medium and memory components. Memorycomponents (e.g., volatile and/or nonvolatile memory) find use instoring instructions (e.g., an embodiment of a process as providedherein) and/or data (e.g., a work piece such as methylationmeasurements, sequences, and statistical descriptions associatedtherewith). Some embodiments relate to systems also comprising one ormore of a CPU, a graphics card, and a user interface (e.g., comprisingan output device such as display and an input device such as akeyboard).

Programmable machines associated with the technology compriseconventional extant technologies and technologies in development or yetto be developed (e.g., a quantum computer, a chemical computer, a DNAcomputer, an optical computer, a spintronics based computer, etc.).

In some embodiments, the technology comprises a wired (e.g., metalliccable, fiber optic) or wireless transmission medium for transmittingdata. For example, some embodiments relate to data transmission over anetwork (e.g., a local area network (LAN), a wide area network (WAN), anad-hoc network, the internet, etc.). In some embodiments, programmablemachines are present on such a network as peers and in some embodimentsthe programmable machines have a client/server relationship.

In some embodiments, data are stored on a computer-readable storagemedium such as a hard disk, flash memory, optical media, a floppy disk,etc.

In some embodiments, the technology provided herein is associated with aplurality of programmable devices that operate in concert to perform amethod as described herein. For example, in some embodiments, aplurality of computers (e.g., connected by a network) may work inparallel to collect and process data, e.g., in an implementation ofcluster computing or grid computing or some other distributed computerarchitecture that relies on complete computers (with onboard CPUs,storage, power supplies, network interfaces, etc.) connected to anetwork (private, public, or the internet) by a conventional networkinterface, such as Ethernet, fiber optic, or by a wireless networktechnology.

For example, some embodiments provide a computer that includes acomputer-readable medium. The embodiment includes a random access memory(RAM) coupled to a processor. The processor executes computer-executableprogram instructions stored in memory. Such processors may include amicroprocessor, an ASIC, a state machine, or other processor, and can beany of a number of computer processors, such as processors from IntelCorporation of Santa Clara, Calif. and Motorola Corporation ofSchaumburg, Ill. Such processors include, or may be in communicationwith, media, for example computer-readable media, which storesinstructions that, when executed by the processor, cause the processorto perform the steps described herein.

Embodiments of computer-readable media include, but are not limited to,an electronic, optical, magnetic, or other storage or transmissiondevice capable of providing a processor with computer-readableinstructions. Other examples of suitable media include, but are notlimited to, a floppy disk, CD-ROM, DVD, magnetic disk, memory chip, ROM,RAM, an ASIC, a configured processor, all optical media, all magnetictape or other magnetic media, or any other medium from which a computerprocessor can read instructions. Also, various other forms ofcomputer-readable media may transmit or carry instructions to acomputer, including a router, private or public network, or othertransmission device or channel, both wired and wireless. Theinstructions may comprise code from any suitable computer-programminglanguage, including, for example, C, C++, C#, Visual Basic, Java,Python, Perl, and JavaScript.

Computers are connected in some embodiments to a network. Computers mayalso include a number of external or internal devices such as a mouse, aCD-ROM, DVD, a keyboard, a display, or other input or output devices.Examples of computers are personal computers, digital assistants,personal digital assistants, cellular phones, mobile phones, smartphones, pagers, digital tablets, laptop computers, internet appliances,and other processor-based devices. In general, the computers related toaspects of the technology provided herein may be any type ofprocessor-based platform that operates on any operating system, such asMicrosoft Windows, Linux, UNIX, Mac OS X, etc., capable of supportingone or more programs comprising the technology provided herein. Someembodiments comprise a personal computer executing other applicationprograms (e.g., applications). The applications can be contained inmemory and can include, for example, a word processing application, aspreadsheet application, an email application, an instant messengerapplication, a presentation application, an Internet browserapplication, a calendar/organizer application, and any other applicationcapable of being executed by a client device.

All such components, computers, and systems described herein asassociated with the technology may be logical or virtual.

Accordingly, provided herein is technology related to a method ofscreening for a colorectal neoplasm in a sample (e.g., stool sample,colorectal tissue sample; blood sample; blood product sample) obtainedfrom a subject (e.g., a human subject), the method comprising assaying amethylation state of a marker in a sample obtained from a subject; andidentifying the subject as having a colorectal neoplasm when themethylation state of the marker is different than a methylation state ofthe marker assayed in a subject that does not have a colorectalneoplasm, wherein the marker comprises a base in a differentiallymethylated region (DMR) selected from a group consisting of a DMR asprovided in Table 1A and B. The technology also encompasses determiningthe state or stage of a colorectal cancer, e.g., in some embodiments theneoplasm is pre-cancerous. Some embodiments provide methods comprisingassaying a plurality of markers, e.g., comprising assaying 2 to 10markers.

The technology is not limited in the methylation state assessed. In someembodiments assessing the methylation state of the marker in the samplecomprises determining the methylation state of one base. In someembodiments, assaying the methylation state of the marker in the samplecomprises determining the extent of methylation at a plurality of bases.Moreover, in some embodiments the methylation state of the markercomprises an increased methylation of the marker relative to a normalmethylation state of the marker. In some embodiments, the methylationstate of the marker comprises a decreased methylation of the markerrelative to a normal methylation state of the marker. In someembodiments the methylation state of the marker comprises a differentpattern of methylation of the marker relative to a normal methylationstate of the marker.

Furthermore, in some embodiments the marker is a region of 100 or fewerbases, the marker is a region of 500 or fewer bases, the marker is aregion of 1000 or fewer bases, the marker is a region of 5000 or fewerbases, or, in some embodiments, the marker is one base. In someembodiments the marker is in a high CpG density promoter.

The technology is not limited by sample type. For example, in someembodiments the sample is a stool sample, a tissue sample, a colorectaltissue sample, a blood sample (e.g., plasma, serum, whole blood), anexcretion, or a urine sample.

Furthermore, the technology is not limited in the method used todetermine methylation state. In some embodiments the assaying comprisesusing methylation specific polymerase chain reaction, nucleic acidsequencing, mass spectrometry, methylation specific nuclease, mass-basedseparation, or target capture. In some embodiments, the assayingcomprises use of a methylation specific oligonucleotide. In someembodiments, the technology uses massively parallel sequencing (e.g.,next-generation sequencing) to determine methylation state, e.g.,sequencing-by-synthesis, real-time (e.g., single-molecule) sequencing,bead emulsion sequencing, nanopore sequencing, etc.

The technology provides reagents for detecting a DMR, e.g., in someembodiments are provided a set of oligonucleotides comprising thesequences provided by SEQ ID NOs: 1-57. In some embodiments are providedan oligonucleotide comprising a sequence complementary to a chromosomalregion having a base in a DMR, e.g., an oligonucleotide sensitive tomethylation state of a DMR.

The technology provides various panels of markers, e.g., in someembodiments the marker comprises a chromosomal region having anannotation that is NDRG4, BMP3, OPLAH, FLI1, PDGFD, CHST_7889,SFMBT2_895, SFMBT2_896, SFMBT2_897, CHST2_7890, VAV3, and DTX1, and thatcomprises the marker (see, Table 1A and B).

In addition, embodiments provide a method of analyzing a DMR from Table1A and B. Some embodiments provide determining the methylation state ofa marker, wherein a chromosomal region having an annotation that isNDRG4, BMP3, OPLAH, FLI1, PDGFD, CHST_7889, SFMBT2_895, SFMBT2_896,SFMBT2_897, CHST2_7890, VAV3, and DTX1 comprises the marker.

Kit embodiments are provided, e.g., a kit comprising a bisulfitereagent; and a control nucleic acid comprising a sequence from a DMRselected from any of the chromosomal regions provided in Table 1A and Band having a methylation state associated with a subject who does nothave a cancer. In some embodiments, kits comprise a bisulfite reagentand an oligonucleotide as described herein. In some embodiments, kitscomprise a bisulfite reagent; and a control nucleic acid comprising asequence from a DMR selected from any of the chromosomal regionsprovided in Table 1A and B and having a methylation state associatedwith a subject who has colorectal cancer, adenoma and/or SSP. Some kitembodiments comprise a sample collector for obtaining a sample from asubject (e.g., a stool sample); reagents for isolating a nucleic acidfrom the sample; a bisulfite reagent; and an oligonucleotide asdescribed herein.

The technology is related to embodiments of compositions (e.g., reactionmixtures). In some embodiments are provided a composition comprising anucleic acid comprising a DMR and a bisulfite reagent. Some embodimentsprovide a composition comprising a nucleic acid comprising a DMR and anoligonucleotide as described herein. Some embodiments provide acomposition comprising a nucleic acid comprising a DMR and amethylation-sensitive restriction enzyme. Some embodiments provide acomposition comprising a nucleic acid comprising a DMR and a polymerase.

Additional related method embodiments are provided for screening for acolorectal neoplasm in a sample obtained from a subject, e.g., a methodcomprising determining a methylation state of a marker in the samplecomprising a base in a DMR selected from any of the chromosomal regionsprovided in Table 1A and B; comparing the methylation state of themarker from the subject sample to a methylation state of the marker froma normal control sample from a subject who does not have a cancer; anddetermining a confidence interval and/or a p value of the difference inthe methylation state of the subject sample and the normal controlsample. In some embodiments, the confidence interval is 90%, 95%, 97.5%,98%, 99%, 99.5%, 99.9% or 99.99% and the p value is 0.1, 0.05, 0.025,0.02, 0.01, 0.005, 0.001, or 0.0001. Some embodiments of methods providesteps of reacting a nucleic acid comprising a DMR with a bisulfitereagent to produce a bisulfite-reacted nucleic acid; sequencing thebisulfite-reacted nucleic acid to provide a nucleotide sequence of thebisulfite-reacted nucleic acid; comparing the nucleotide sequence of thebisulfite-reacted nucleic acid with a nucleotide sequence of a nucleicacid comprising the DMR from a subject who does not have a cancer toidentify differences in the two sequences; and identifying the subjectas having a colorectal neoplasm when a difference is present.

Systems for screening for a colorectal neoplasm in a sample obtainedfrom a subject are provided by the technology. Exemplary embodiments ofsystems include, e.g., a system for screening for a colorectal neoplasmin a sample obtained from a subject, the system comprising an analysiscomponent configured to determine the methylation state of a sample, asoftware component configured to compare the methylation state of thesample with a control sample or a reference sample methylation staterecorded in a database, and an alert component configured to alert auser of a cancer-associated methylation state. An alert is determined insome embodiments by a software component that receives the results frommultiple assays (e.g., determining the methylation states of multiplemarkers, e.g., DMR, e.g., as provided in Table 1A and B) and calculatinga value or result to report based on the multiple results. Someembodiments provide a database of weighted parameters associated witheach DMR provided herein for use in calculating a value or result and/oran alert to report to a user (e.g., such as a physician, nurse,clinician, etc.). In some embodiments all results from multiple assaysare reported and in some embodiments one or more results are used toprovide a score, value, or result based on a composite of one or moreresults from multiple assays that is indicative of a colorectal cancerrisk in a subject.

In some embodiments of systems, a sample comprises a nucleic acidcomprising a DMR. In some embodiments the system further comprises acomponent for isolating a nucleic acid, a component for collecting asample such as a component for collecting a stool sample. In someembodiments, the system comprises nucleic acid sequences comprising aDMR. In some embodiments the database comprises nucleic acid sequencesfrom subjects who do not have a cancer. Also provided are nucleic acids,e.g., a set of nucleic acids, each nucleic acid having a sequencecomprising a DMR. In some embodiments the set of nucleic acids whereineach nucleic acid has a sequence from a subject who does not have acancer. Related system embodiments comprise a set of nucleic acids asdescribed and a database of nucleic acid sequences associated with theset of nucleic acids. Some embodiments further comprise a bisulfitereagent. And, some embodiments further comprise a nucleic acidsequencer.

The technology is related to embodiments of compositions (e.g., reactionmixtures). In some embodiments are provided a composition comprising anucleic acid comprising a DMR (e.g., a DMR as provided in Table 1A andB) and a bisulfite reagent. Some embodiments provide a compositioncomprising a nucleic acid comprising a DMR and an oligonucleotide asdescribed herein. Some embodiments provide a composition comprising anucleic acid comprising a DMR and a methylation-sensitive restrictionenzyme. Some embodiments provide a composition comprising a nucleic acidcomprising a DMR and a polymerase.

Additional embodiments will be apparent to persons skilled in therelevant art based on the teachings contained herein.

DETAILED DESCRIPTION

Provided herein is technology relating to detecting colorectal neoplasiaand particularly, but not exclusively, to methods, compositions, andrelated uses for detecting premalignant and malignant colorectal cancer.As the technology is described herein, the section headings used are fororganizational purposes only and are not to be construed as limiting thesubject matter in any way.

In this detailed description of the various embodiments, for purposes ofexplanation, numerous specific details are set forth to provide athorough understanding of the embodiments disclosed. One skilled in theart will appreciate, however, that these various embodiments may bepracticed with or without these specific details. In other instances,structures and devices are shown in block diagram form. Furthermore, oneskilled in the art can readily appreciate that the specific sequences inwhich methods are presented and performed are illustrative and it iscontemplated that the sequences can be varied and still remain withinthe spirit and scope of the various embodiments disclosed herein.

All literature and similar materials cited in this application,including but not limited to, patents, patent applications, articles,books, treatises, and internet web pages are expressly incorporated byreference in their entirety for any purpose. Unless defined otherwise,all technical and scientific terms used herein have the same meaning asis commonly understood by one of ordinary skill in the art to which thevarious embodiments described herein belongs. When definitions of termsin incorporated references appear to differ from the definitionsprovided in the present teachings, the definition provided in thepresent teachings shall control.

Definitions

To facilitate an understanding of the present technology, a number ofterms and phrases are defined below. Additional definitions are setforth throughout the detailed description.

Throughout the specification and claims, the following terms take themeanings explicitly associated herein, unless the context clearlydictates otherwise. The phrase “in one embodiment” as used herein doesnot necessarily refer to the same embodiment, though it may.Furthermore, the phrase “in another embodiment” as used herein does notnecessarily refer to a different embodiment, although it may. Thus, asdescribed below, various embodiments of the invention may be readilycombined, without departing from the scope or spirit of the invention.

In addition, as used herein, the term “or” is an inclusive “or” operatorand is equivalent to the term “and/or” unless the context clearlydictates otherwise. The term “based on” is not exclusive and allows forbeing based on additional factors not described, unless the contextclearly dictates otherwise. In addition, throughout the specification,the meaning of “a”, “an”, and “the” include plural references. Themeaning of “in” includes “in” and “on.”

As used herein, a “nucleic acid” or “nucleic acid molecule” generallyrefers to any ribonucleic acid or deoxyribonucleic acid, which may beunmodified or modified DNA or RNA. “Nucleic acids” include, withoutlimitation, single- and double-stranded nucleic acids. As used herein,the term “nucleic acid” also includes DNA as described above thatcontains one or more modified bases. Thus, DNA with a backbone modifiedfor stability or for other reasons is a “nucleic acid”. The term“nucleic acid” as it is used herein embraces such chemically,enzymatically, or metabolically modified forms of nucleic acids, as wellas the chemical forms of DNA characteristic of viruses and cells,including for example, simple and complex cells.

The terms “oligonucleotide” or “polynucleotide” or “nucleotide” or“nucleic acid” refer to a molecule having two or moredeoxyribonucleotides or ribonucleotides, preferably more than three, andusually more than ten. The exact size will depend on many factors, whichin turn depends on the ultimate function or use of the oligonucleotide.The oligonucleotide may be generated in any manner, including chemicalsynthesis, DNA replication, reverse transcription, or a combinationthereof. Typical deoxyribonucleotides for DNA are thymine, adenine,cytosine, and guanine. Typical ribonucleotides for RNA are uracil,adenine, cytosine, and guanine.

As used herein, the terms “locus” or “region” of a nucleic acid refer toa subregion of a nucleic acid, e.g., a gene on a chromosome, a singlenucleotide, a CpG island, etc.

The terms “complementary” and “complementarity” refer to nucleotides(e.g., 1 nucleotide) or polynucleotides (e.g., a sequence ofnucleotides) related by the base-pairing rules. For example, thesequence 5′-A-G-T-3′ is complementary to the sequence 3′-T-C-A-5′.Complementarity may be “partial,” in which only some of the nucleicacids' bases are matched according to the base pairing rules. Or, theremay be “complete” or “total” complementarity between the nucleic acids.The degree of complementarity between nucleic acid strands effects theefficiency and strength of hybridization between nucleic acid strands.This is of particular importance in amplification reactions and indetection methods that depend upon binding between nucleic acids.

The term “gene” refers to a nucleic acid (e.g., DNA or RNA) sequencethat comprises coding sequences necessary for the production of an RNA,or of a polypeptide or its precursor. A functional polypeptide can beencoded by a full length coding sequence or by any portion of the codingsequence as long as the desired activity or functional properties (e.g.,enzymatic activity, ligand binding, signal transduction, etc.) of thepolypeptide are retained. The term “portion” when used in reference to agene refers to fragments of that gene. The fragments may range in sizefrom a few nucleotides to the entire gene sequence minus one nucleotide.Thus, “a nucleotide comprising at least a portion of a gene” maycomprise fragments of the gene or the entire gene.

The term “gene” also encompasses the coding regions of a structural geneand includes sequences located adjacent to the coding region on both the5′ and 3′ ends, e.g., for a distance of about 1 kb on either end, suchthat the gene corresponds to the length of the full-length mRNA (e.g.,comprising coding, regulatory, structural and other sequences). Thesequences that are located 5′ of the coding region and that are presenton the mRNA are referred to as 5′ non-translated or untranslatedsequences. The sequences that are located 3′ or downstream of the codingregion and that are present on the mRNA are referred to as 3′non-translated or 3′ untranslated sequences. The term “gene” encompassesboth cDNA and genomic forms of a gene. In some organisms (e.g.,eukaryotes), a genomic form or clone of a gene contains the codingregion interrupted with non-coding sequences termed “introns” or“intervening regions” or “intervening sequences.” Introns are segmentsof a gene that are transcribed into nuclear RNA (hnRNA); introns maycontain regulatory elements such as enhancers. Introns are removed or“spliced out” from the nuclear or primary transcript; introns thereforeare absent in the messenger RNA (mRNA) transcript. The mRNA functionsduring translation to specify the sequence or order of amino acids in anascent polypeptide.

In addition to containing introns, genomic forms of a gene may alsoinclude sequences located on both the 5′ and 3′ ends of the sequencesthat are present on the RNA transcript. These sequences are referred toas “flanking” sequences or regions (these flanking sequences are located5′ or 3′ to the non-translated sequences present on the mRNAtranscript). The 5′ flanking region may contain regulatory sequencessuch as promoters and enhancers that control or influence thetranscription of the gene. The 3′ flanking region may contain sequencesthat direct the termination of transcription, posttranscriptionalcleavage, and polyadenylation.

The term “wild-type” when made in reference to a gene refers to a genethat has the characteristics of a gene isolated from a naturallyoccurring source. The term “wild-type” when made in reference to a geneproduct refers to a gene product that has the characteristics of a geneproduct isolated from a naturally occurring source. The term“naturally-occurring” as applied to an object refers to the fact that anobject can be found in nature. For example, a polypeptide orpolynucleotide sequence that is present in an organism (includingviruses) that can be isolated from a source in nature and which has notbeen intentionally modified by the hand of a person in the laboratory isnaturally-occurring. A wild-type gene is often that gene or allele thatis most frequently observed in a population and is thus arbitrarilydesignated the “normal” or “wild-type” form of the gene. In contrast,the term “modified” or “mutant” when made in reference to a gene or to agene product refers, respectively, to a gene or to a gene product thatdisplays modifications in sequence and/or functional properties (e.g.,altered characteristics) when compared to the wild-type gene or geneproduct. It is noted that naturally-occurring mutants can be isolated;these are identified by the fact that they have altered characteristicswhen compared to the wild-type gene or gene product.

The term “allele” refers to a variation of a gene; the variationsinclude but are not limited to variants and mutants, polymorphic loci,and single nucleotide polymorphic loci, frameshift, and splicemutations. An allele may occur naturally in a population or it mightarise during the lifetime of any particular individual of thepopulation.

Thus, the terms “variant” and “mutant” when used in reference to anucleotide sequence refer to a nucleic acid sequence that differs by oneor more nucleotides from another, usually related, nucleotide acidsequence. A “variation” is a difference between two different nucleotidesequences; typically, one sequence is a reference sequence.

“Amplification” is a special case of nucleic acid replication involvingtemplate specificity. It is to be contrasted with non-specific templatereplication (e.g., replication that is template-dependent but notdependent on a specific template). Template specificity is heredistinguished from fidelity of replication (e.g., synthesis of theproper polynucleotide sequence) and nucleotide (ribo- or deoxyribo-)specificity. Template specificity is frequently described in terms of“target” specificity. Target sequences are “targets” in the sense thatthey are sought to be sorted out from other nucleic acid. Amplificationtechniques have been designed primarily for this sorting out.

Amplification of nucleic acids generally refers to the production ofmultiple copies of a polynucleotide, or a portion of the polynucleotide,typically starting from a small amount of the polynucleotide (e.g., asingle polynucleotide molecule, 10 to 100 copies of a polynucleotidemolecule, which may or may not be exactly the same), where theamplification products or amplicons are generally detectable.Amplification of polynucleotides encompasses a variety of chemical andenzymatic processes. The generation of multiple DNA copies from one or afew copies of a target or template DNA molecule during a polymerasechain reaction (PCR) or a ligase chain reaction (LCR; see, e.g., U.S.Pat. No. 5,494,810) are forms of amplification. Additional types ofamplification include, but are not limited to, allele-specific PCR (U.S.Pat. No. 5,639,611), assembly PCR (U.S. Pat. No. 5,965,408),helicase-dependent amplification (U.S. Pat. No. 7,662,594), Hot-startPCR (U.S. Pat. Nos. 5,773,258 and 5,338,671), intersequence-specfic PCR,inverse PCR (Triglia, et al et al. (1988) Nucleic Acids Res., 16:8186),ligation-mediated PCR (Guilfoyle, R. et al et al., Nucleic AcidsResearch, 25:1854-1858 (1997); U.S. Pat. No. 5,508,169),methylation-specific PCR (Herman, et al., (1996) PNAS 93(13) 9821-9826),miniprimer PCR, multiplex ligation-dependent probe amplification(Schouten, et al., (2002) Nucleic Acids Research 30(12): e57), multiplexPCR (Chamberlain, et al., (1988) Nucleic Acids Research 16(23)11141-11156; Ballabio, et al., (1990) Human Genetics 84(6) 571-573;Hayden, et al., (2008) BMC Genetics 9:80), nested PCR, overlap-extensionPCR (Higuchi, et al., (1988) Nucleic Acids Research 16(15) 7351-7367),real time PCR (Higuchi, et al et al., (1992) Biotechnology 10:413-417;Higuchi, et al., (1993) Biotechnology 11:1026-1030), reversetranscription PCR (Bustin, S. A. (2000) J. Molecular Endocrinology25:169-193), solid phase PCR, thermal asymmetric interlaced PCR, andTouchdown PCR (Don, et al., Nucleic Acids Research (1991) 19(14) 4008;Roux, K. (1994) Biotechniques 16(5) 812-814; Hecker, et al., (1996)Biotechniques 20(3) 478-485). Polynucleotide amplification also can beaccomplished using digital PCR (Kalinina, et al., Nucleic AcidsResearch. 25; 1999-2004, (1997); Vogelstein and Kinzler, Proc Natl AcadSci USA. 96; 9236-41, (1999); International Patent Publication No.WO05023091A2; US Patent Application Publication No. 20070202525).

As used herein, the term “nucleic acid detection assay” refers to anymethod of determining the nucleotide composition of a nucleic acid ofinterest. Nucleic acid detection assay include but are not limited to,DNA sequencing methods, probe hybridization methods, structure specificcleavage assays (e.g., the INVADER assay, Hologic, Inc.) and aredescribed, e.g., in U.S. Pat. Nos. 5,846,717, 5,985,557, 5,994,069,6,001,567, 6,090,543, and 6,872,816; Lyamichev et al., Nat. Biotech.,17:292 (1999), Hall et al., PNAS, USA, 97:8272 (2000), and US2009/0253142); polymerase chain reaction; branched hybridization methods(e.g., Chiron, U.S. Pat. Nos. 5,849,481, 5,710,264, 5,124,246, and5,624,802); rolling circle replication (e.g., U.S. Pat. Nos. 6,210,884,6,183,960 and 6,235,502); NASBA (e.g., U.S. Pat. No. 5,409,818);molecular beacon technology (e.g., U.S. Pat. No. 6,150,097); cyclingprobe technology (e.g., U.S. Pat. Nos. 5,403,711, 5,011,769, and5,660,988); ligase chain reaction (e.g., Barnay Proc. Natl. Acad. SciUSA 88, 189-93 (1991)); QuARTS assay (e.g., as provided by U.S. Pat. No.8,361,720; and U.S. Pat. Appl. Pub. Nos. 2012/0122088 and 2012/0122106);and sandwich hybridization methods (e.g., U.S. Pat. No. 5,288,609).

The term “primer” refers to an oligonucleotide, whether occurringnaturally as in a purified restriction digest or produced synthetically,that is capable of acting as a point of initiation of synthesis whenplaced under conditions in which synthesis of a primer extension productthat is complementary to a nucleic acid strand is induced, (e.g., in thepresence of nucleotides and an inducing agent such as a DNA polymeraseand at a suitable temperature and pH). The primer is preferably singlestranded for maximum efficiency in amplification, but may alternativelybe double stranded. If double stranded, the primer is first treated toseparate its strands before being used to prepare extension products.Preferably, the primer is an oligodeoxyribonucleotide. The primer mustbe sufficiently long to prime the synthesis of extension products in thepresence of the inducing agent. The exact lengths of the primers willdepend on many factors, including temperature, source of primer, and theuse of the method.

The term “probe” refers to an oligonucleotide (e.g., a sequence ofnucleotides), whether occurring naturally as in a purified restrictiondigest or produced synthetically, recombinantly, or by PCRamplification, that is capable of hybridizing to another oligonucleotideof interest. A probe may be single-stranded or double-stranded. Probesare useful in the detection, identification, and isolation of particulargene sequences (e.g., a “capture probe”). It is contemplated that anyprobe used in the present invention may, in some embodiments, be labeledwith any “reporter molecule,” so that is detectable in any detectionsystem, including, but not limited to enzyme (e.g., ELISA, as well asenzyme-based histochemical assays), fluorescent, radioactive, andluminescent systems. It is not intended that the present invention belimited to any particular detection system or label.

As used herein, “methylation” refers to cytosine methylation atpositions C5 or N4 of cytosine, the N6 position of adenine, or othertypes of nucleic acid methylation. In vitro amplified DNA is usuallyunmethylated because typical in vitro DNA amplification methods do notretain the methylation pattern of the amplification template. However,“unmethylated DNA” or “methylated DNA” can also refer to amplified DNAwhose original template was unmethylated or methylated, respectively.

Accordingly, as used herein a “methylated nucleotide” or a “methylatednucleotide base” refers to the presence of a methyl moiety on anucleotide base, where the methyl moiety is not present in a recognizedtypical nucleotide base. For example, cytosine does not contain a methylmoiety on its pyrimidine ring, but 5-methylcytosine contains a methylmoiety at position 5 of its pyrimidine ring. Therefore, cytosine is nota methylated nucleotide and 5-methylcytosine is a methylated nucleotide.In another example, thymine contains a methyl moiety at position 5 ofits pyrimidine ring; however, for purposes herein, thymine is notconsidered a methylated nucleotide when present in DNA since thymine isa typical nucleotide base of DNA.

As used herein, a “methylated nucleic acid molecule” refers to a nucleicacid molecule that contains one or more methylated nucleotides.

As used herein, a “methylation state”, “methylation profile”, and“methylation status” of a nucleic acid molecule refers to the presenceof absence of one or more methylated nucleotide bases in the nucleicacid molecule. For example, a nucleic acid molecule containing amethylated cytosine is considered methylated (e.g., the methylationstate of the nucleic acid molecule is methylated). A nucleic acidmolecule that does not contain any methylated nucleotides is consideredunmethylated.

The methylation state of a particular nucleic acid sequence (e.g., agene marker or DNA region as described herein) can indicate themethylation state of every base in the sequence or can indicate themethylation state of a subset of the bases (e.g., of one or morecytosines) within the sequence, or can indicate information regardingregional methylation density within the sequence with or withoutproviding precise information of the locations within the sequence themethylation occurs.

The methylation state of a nucleotide locus in a nucleic acid moleculerefers to the presence or absence of a methylated nucleotide at aparticular locus in the nucleic acid molecule. For example, themethylation state of a cytosine at the 7th nucleotide in a nucleic acidmolecule is methylated when the nucleotide present at the 7th nucleotidein the nucleic acid molecule is 5-methylcytosine. Similarly, themethylation state of a cytosine at the 7th nucleotide in a nucleic acidmolecule is unmethylated when the nucleotide present at the 7thnucleotide in the nucleic acid molecule is cytosine (and not5-methylcytosine).

The methylation status can optionally be represented or indicated by a“methylation value” (e.g., representing a methylation frequency,fraction, ratio, percent, etc.) A methylation value can be generated,for example, by quantifying the amount of intact nucleic acid presentfollowing restriction digestion with a methylation dependent restrictionenzyme or by comparing amplification profiles after bisulfite reactionor by comparing sequences of bisulfite-treated and untreated nucleicacids. Accordingly, a value, e.g., a methylation value, represents themethylation status and can thus be used as a quantitative indicator ofmethylation status across multiple copies of a locus. This is ofparticular use when it is desirable to compare the methylation status ofa sequence in a sample to a threshold or reference value.

As used herein, “methylation frequency” or “methylation percent (%)”refer to the number of instances in which a molecule or locus ismethylated relative to the number of instances the molecule or locus isunmethylated.

As such, the methylation state describes the state of methylation of anucleic acid (e.g., a genomic sequence). In addition, the methylationstate refers to the characteristics of a nucleic acid segment at aparticular genomic locus relevant to methylation. Such characteristicsinclude, but are not limited to, whether any of the cytosine (C)residues within this DNA sequence are methylated, the location ofmethylated C residue(s), the frequency or percentage of methylated Cthroughout any particular region of a nucleic acid, and allelicdifferences in methylation due to, e.g., difference in the origin of thealleles. The terms “methylation state”, “methylation profile”, and“methylation status” also refer to the relative concentration, absoluteconcentration, or pattern of methylated C or unmethylated C throughoutany particular region of a nucleic acid in a biological sample. Forexample, if the cytosine (C) residue(s) within a nucleic acid sequenceare methylated it may be referred to as “hypermethylated” or having“increased methylation”, whereas if the cytosine (C) residue(s) within aDNA sequence are not methylated it may be referred to as“hypomethylated” or having “decreased methylation”. Likewise, if thecytosine (C) residue(s) within a nucleic acid sequence are methylated ascompared to another nucleic acid sequence (e.g., from a different regionor from a different individual, etc.) that sequence is consideredhypermethylated or having increased methylation compared to the othernucleic acid sequence. Alternatively, if the cytosine (C) residue(s)within a DNA sequence are not methylated as compared to another nucleicacid sequence (e.g., from a different region or from a differentindividual, etc.) that sequence is considered hypomethylated or havingdecreased methylation compared to the other nucleic acid sequence.Additionally, the term “methylation pattern” as used herein refers tothe collective sites of methylated and unmethylated nucleotides over aregion of a nucleic acid. Two nucleic acids may have the same or similarmethylation frequency or methylation percent but have differentmethylation patterns when the number of methylated and unmethylatednucleotides are the same or similar throughout the region but thelocations of methylated and unmethylated nucleotides are different.Sequences are said to be “differentially methylated” or as having a“difference in methylation” or having a “different methylation state”when they differ in the extent (e.g., one has increased or decreasedmethylation relative to the other), frequency, or pattern ofmethylation. The term “differential methylation” refers to a differencein the level or pattern of nucleic acid methylation in a cancer positivesample as compared with the level or pattern of nucleic acid methylationin a cancer negative sample. It may also refer to the difference inlevels or patterns between patients that have recurrence of cancer aftersurgery versus patients who not have recurrence. Differentialmethylation and specific levels or patterns of DNA methylation areprognostic and predictive biomarkers, e.g., once the correct cut-off orpredictive characteristics have been defined.

Methylation state frequency can be used to describe a population ofindividuals or a sample from a single individual. For example, anucleotide locus having a methylation state frequency of 50% ismethylated in 50% of instances and unmethylated in 50% of instances.Such a frequency can be used, for example, to describe the degree towhich a nucleotide locus or nucleic acid region is methylated in apopulation of individuals or a collection of nucleic acids. Thus, whenmethylation in a first population or pool of nucleic acid molecules isdifferent from methylation in a second population or pool of nucleicacid molecules, the methylation state frequency of the first populationor pool will be different from the methylation state frequency of thesecond population or pool. Such a frequency also can be used, forexample, to describe the degree to which a nucleotide locus or nucleicacid region is methylated in a single individual. For example, such afrequency can be used to describe the degree to which a group of cellsfrom a tissue sample are methylated or unmethylated at a nucleotidelocus or nucleic acid region.

As used herein a “nucleotide locus” refers to the location of anucleotide in a nucleic acid molecule. A nucleotide locus of amethylated nucleotide refers to the location of a methylated nucleotidein a nucleic acid molecule.

Typically, methylation of human DNA occurs on a dinucleotide sequenceincluding an adjacent guanine and cytosine where the cytosine is located5′ of the guanine (also termed CpG dinucleotide sequences). Mostcytosines within the CpG dinucleotides are methylated in the humangenome, however some remain unmethylated in specific CpG dinucleotiderich genomic regions, known as CpG islands (see, e.g, Antequera et al.(1990) Cell 62: 503-514).

As used herein, a “CpG island” refers to a G:C-rich region of genomicDNA containing an increased number of CpG dinucleotides relative tototal genomic DNA. A CpG island can be at least 100, 200, or more basepairs in length, where the G:C content of the region is at least 50% andthe ratio of observed CpG frequency over expected frequency is 0.6; insome instances, a CpG island can be at least 500 base pairs in length,where the G:C content of the region is at least 55%) and the ratio ofobserved CpG frequency over expected frequency is 0.65. The observed CpGfrequency over expected frequency can be calculated according to themethod provided in Gardiner-Garden et al (1987) J. Mol. Biol. 196:261-281. For example, the observed CpG frequency over expected frequencycan be calculated according to the formula R=(A×B)/(C×D), where R is theratio of observed CpG frequency over expected frequency, A is the numberof CpG dinucleotides in an analyzed sequence, B is the total number ofnucleotides in the analyzed sequence, C is the total number of Cnucleotides in the analyzed sequence, and D is the total number of Gnucleotides in the analyzed sequence. Methylation state is typicallydetermined in CpG islands, e.g., at promoter regions. It will beappreciated though that other sequences in the human genome are prone toDNA methylation such as CpA and CpT (see Ramsahoye (2000) Proc. Natl.Acad. Sci. USA 97: 5237-5242; Salmon and Kaye (1970) Biochim. Biophys.Acta. 204: 340-351; Grafstrom (1985) Nucleic Acids Res. 13: 2827-2842;Nyce (1986) Nucleic Acids Res. 14: 4353-4367; Woodcock (1987) Biochem.Biophys. Res. Commun. 145: 888-894).

As used herein, a reagent that modifies a nucleotide of the nucleic acidmolecule as a function of the methylation state of the nucleic acidmolecule, or a methylation-specific reagent, refers to a compound orcomposition or other agent that can change the nucleotide sequence of anucleic acid molecule in a manner that reflects the methylation state ofthe nucleic acid molecule. Methods of treating a nucleic acid moleculewith such a reagent can include contacting the nucleic acid moleculewith the reagent, coupled with additional steps, if desired, toaccomplish the desired change of nucleotide sequence. Such a change inthe nucleic acid molecule's nucleotide sequence can result in a nucleicacid molecule in which each methylated nucleotide is modified to adifferent nucleotide. Such a change in the nucleic acid nucleotidesequence can result in a nucleic acid molecule in which eachunmethylated nucleotide is modified to a different nucleotide. Such achange in the nucleic acid nucleotide sequence can result in a nucleicacid molecule in which each of a selected nucleotide which isunmethylated (e.g., each unmethylated cytosine) is modified to adifferent nucleotide. Use of such a reagent to change the nucleic acidnucleotide sequence can result in a nucleic acid molecule in which eachnucleotide that is a methylated nucleotide (e.g., each methylatedcytosine) is modified to a different nucleotide. As used herein, use ofa reagent that modifies a selected nucleotide refers to a reagent thatmodifies one nucleotide of the four typically occurring nucleotides in anucleic acid molecule (C, G, T, and A for DNA and C, G, U, and A forRNA), such that the reagent modifies the one nucleotide withoutmodifying the other three nucleotides. In one exemplary embodiment, sucha reagent modifies an unmethylated selected nucleotide to produce adifferent nucleotide. In another exemplary embodiment, such a reagentcan deaminate unmethylated cytosine nucleotides. An exemplary reagent isbisulfite.

As used herein, the term “bisulfite reagent” refers to a reagentcomprising in some embodiments bisulfite, disulfite, hydrogen sulfite,or combinations thereof to distinguish between methylated andunmethylated cytidines, e.g., in CpG dinucleotide sequences.

The term “methylation assay” refers to any assay for determining themethylation state of one or more CpG dinucleotide sequences within asequence of a nucleic acid.

The term “MS AP-PCR” (Methylation-Sensitive Arbitrarily-PrimedPolymerase Chain Reaction) refers to the art-recognized technology thatallows for a global scan of the genome using CG-rich primers to focus onthe regions most likely to contain CpG dinucleotides, and described byGonzalgo et al. (1997) Cancer Research 57: 594-599.

The term “MethyLight™” refers to the art-recognized fluorescence-basedreal-time PCR technique described by Eads et al. (1999) Cancer Res. 59:2302-2306.

The term “HeavyMethyl™” refers to an assay wherein methylation specificblocking probes (also referred to herein as blockers) covering CpGpositions between, or covered by, the amplification primers enablemethylation-specific selective amplification of a nucleic acid sample.

The term “HeavyMethyl™ MethyLight™” assay refers to a HeavyMethyl™MethyLight™ assay, which is a variation of the MethyLight™ assay,wherein the MethyLight™ assay is combined with methylation specificblocking probes covering CpG positions between the amplificationprimers.

The term “Ms-SNuPE” (Methylation-sensitive Single Nucleotide PrimerExtension) refers to the art-recognized assay described by Gonzalgo &Jones (1997) Nucleic Acids Res. 25: 2529-2531.

The term “MSP” (Methylation-specific PCR) refers to the art-recognizedmethylation assay described by Herman et al. (1996) Proc. Natl. Acad.Sci. USA 93: 9821-9826, and by U.S. Pat. No. 5,786,146.

The term “COBRA” (Combined Bisulfite Restriction Analysis) refers to theart-recognized methylation assay described by Xiong & Laird (1997)Nucleic Acids Res. 25: 2532-2534.

The term “MCA” (Methylated CpG Island Amplification) refers to themethylation assay described by Toyota et al. (1999) Cancer Res. 59:2307-12, and in WO 00/26401A1.

As used herein, a “selected nucleotide” refers to one nucleotide of thefour typically occurring nucleotides in a nucleic acid molecule (C, G,T, and A for DNA and C, G, U, and A for RNA), and can include methylatedderivatives of the typically occurring nucleotides (e.g., when C is theselected nucleotide, both methylated and unmethylated C are includedwithin the meaning of a selected nucleotide), whereas a methylatedselected nucleotide refers specifically to a methylated typicallyoccurring nucleotide and an unmethylated selected nucleotides refersspecifically to an unmethylated typically occurring nucleotide.

The terms “methylation-specific restriction enzyme” or“methylation-sensitive restriction enzyme” refers to an enzyme thatselectively digests a nucleic acid dependent on the methylation state ofits recognition site. In the case of a restriction enzyme thatspecifically cuts if the recognition site is not methylated or ishemimethylated, the cut will not take place or will take place with asignificantly reduced efficiency if the recognition site is methylated.In the case of a restriction enzyme that specifically cuts if therecognition site is methylated, the cut will not take place or will takeplace with a significantly reduced efficiency if the recognition site isnot methylated. Preferred are methylation-specific restriction enzymes,the recognition sequence of which contains a CG dinucleotide (forinstance a recognition sequence such as CGCG or CCCGGG). Furtherpreferred for some embodiments are restriction enzymes that do not cutif the cytosine in this dinucleotide is methylated at the carbon atomC5.

As used herein, a “different nucleotide” refers to a nucleotide that ischemically different from a selected nucleotide, typically such that thedifferent nucleotide has Watson-Crick base-pairing properties thatdiffer from the selected nucleotide, whereby the typically occurringnucleotide that is complementary to the selected nucleotide is not thesame as the typically occurring nucleotide that is complementary to thedifferent nucleotide. For example, when C is the selected nucleotide, Uor T can be the different nucleotide, which is exemplified by thecomplementarity of C to G and the complementarity of U or T to A. Asused herein, a nucleotide that is complementary to the selectednucleotide or that is complementary to the different nucleotide refersto a nucleotide that base-pairs, under high stringency conditions, withthe selected nucleotide or different nucleotide with higher affinitythan the complementary nucleotide's base-paring with three of the fourtypically occurring nucleotides. An example of complementarity isWatson-Crick base pairing in DNA (e.g., A-T and C-G) and RNA (e.g., A-Uand C-G). Thus, for example, G base-pairs, under high stringencyconditions, with higher affinity to C than G base-pairs to G, A, or Tand, therefore, when C is the selected nucleotide, G is a nucleotidecomplementary to the selected nucleotide.

As used herein, the “sensitivity” of a given marker refers to thepercentage of samples that report a DNA methylation value above athreshold value that distinguishes between neoplastic and non-neoplasticsamples. In some embodiments, a positive is defined as ahistology-confirmed neoplasia that reports a DNA methylation value abovea threshold value (e.g., the range associated with disease), and a falsenegative is defined as a histology-confirmed neoplasia that reports aDNA methylation value below the threshold value (e.g., the rangeassociated with no disease). The value of sensitivity, therefore,reflects the probability that a DNA methylation measurement for a givenmarker obtained from a known diseased sample will be in the range ofdisease-associated measurements. As defined here, the clinical relevanceof the calculated sensitivity value represents an estimation of theprobability that a given marker would detect the presence of a clinicalcondition when applied to a subject with that condition.

As used herein, the “specificity” of a given marker refers to thepercentage of non-neoplastic samples that report a DNA methylation valuebelow a threshold value that distinguishes between neoplastic andnon-neoplastic samples. In some embodiments, a negative is defined as ahistology-confirmed non-neoplastic sample that reports a DNA methylationvalue below the threshold value (e.g., the range associated with nodisease) and a false positive is defined as a histology-confirmednon-neoplastic sample that reports a DNA methylation value above thethreshold value (e.g., the range associated with disease). The value ofspecificity, therefore, reflects the probability that a DNA methylationmeasurement for a given marker obtained from a known non-neoplasticsample will be in the range of non-disease associated measurements. Asdefined here, the clinical relevance of the calculated specificity valuerepresents an estimation of the probability that a given marker woulddetect the absence of a clinical condition when applied to a patientwithout that condition.

The term “AUC” as used herein is an abbreviation for the “area under acurve”. In particular it refers to the area under a Receiver OperatingCharacteristic (ROC) curve. The ROC curve is a plot of the true positiverate against the false positive rate for the different possible cutpoints of a diagnostic test. It shows the trade-off between sensitivityand specificity depending on the selected cut point (any increase insensitivity will be accompanied by a decrease in specificity). The areaunder an ROC curve (AUC) is a measure for the accuracy of a diagnostictest (the larger the area the better; the optimum is 1; a random testwould have a ROC curve lying on the diagonal with an area of 0.5; forreference: J. P. Egan. (1975) Signal Detection Theory and ROC Analysis,Academic Press, New York).

As used herein, the term “neoplasm” refers to “an abnormal mass oftissue, the growth of which exceeds and is uncoordinated with that ofthe normal tissues” See, e.g., Willis R A, “The Spread of Tumors in theHuman Body”, London, Butterworth & Co, 1952.

As used herein, the term “adenoma” refers to a benign tumor of glandularorigin. Although these growths are benign, over time they may progressto become malignant.

The term “pre-cancerous” or “pre-neoplastic” and equivalents thereofrefer to any cellular proliferative disorder that is undergoingmalignant transformation.

A “site” of a neoplasm, adenoma, cancer, etc. is the tissue, organ, celltype, anatomical area, body part, etc. in a subject's body where theneoplasm, adenoma, cancer, etc. is located.

As used herein, a “diagnostic” test application includes the detectionor identification of a disease state or condition of a subject,determining the likelihood that a subject will contract a given diseaseor condition, determining the likelihood that a subject with a diseaseor condition will respond to therapy, determining the prognosis of asubject with a disease or condition (or its likely progression orregression), and determining the effect of a treatment on a subject witha disease or condition. For example, a diagnostic can be used fordetecting the presence or likelihood of a subject contracting a neoplasmor the likelihood that such a subject will respond favorably to acompound (e.g., a pharmaceutical, e.g., a drug) or other treatment.

The term “marker”, as used herein, refers to a substance (e.g., anucleic acid or a region of a nucleic acid) that is able to diagnose acancer by distinguishing cancerous cells from normal cells, e.g., basedits methylation state.

The term “isolated” when used in relation to a nucleic acid, as in “anisolated oligonucleotide” refers to a nucleic acid sequence that isidentified and separated from at least one contaminant nucleic acid withwhich it is ordinarily associated in its natural source. Isolatednucleic acid is present in a form or setting that is different from thatin which it is found in nature. In contrast, non-isolated nucleic acids,such as DNA and RNA, are found in the state they exist in nature.Examples of non-isolated nucleic acids include: a given DNA sequence(e.g., a gene) found on the host cell chromosome in proximity toneighboring genes; RNA sequences, such as a specific mRNA sequenceencoding a specific protein, found in the cell as a mixture withnumerous other mRNAs which encode a multitude of proteins. However,isolated nucleic acid encoding a particular protein includes, by way ofexample, such nucleic acid in cells ordinarily expressing the protein,where the nucleic acid is in a chromosomal location different from thatof natural cells, or is otherwise flanked by a different nucleic acidsequence than that found in nature. The isolated nucleic acid oroligonucleotide may be present in single-stranded or double-strandedform. When an isolated nucleic acid or oligonucleotide is to be utilizedto express a protein, the oligonucleotide will contain at a minimum thesense or coding strand (i.e., the oligonucleotide may besingle-stranded), but may contain both the sense and anti-sense strands(i.e., the oligonucleotide may be double-stranded). An isolated nucleicacid may, after isolation from its natural or typical environment, by becombined with other nucleic acids or molecules. For example, an isolatednucleic acid may be present in a host cell in which into which it hasbeen placed, e.g., for heterologous expression.

The term “purified” refers to molecules, either nucleic acid or aminoacid sequences that are removed from their natural environment,isolated, or separated. An “isolated nucleic acid sequence” maytherefore be a purified nucleic acid sequence. “Substantially purified”molecules are at least 60% free, preferably at least 75% free, and morepreferably at least 90% free from other components with which they arenaturally associated. As used herein, the terms “purified” or “topurify” also refer to the removal of contaminants from a sample. Theremoval of contaminating proteins results in an increase in the percentof polypeptide or nucleic acid of interest in the sample. In anotherexample, recombinant polypeptides are expressed in plant, bacterial,yeast, or mammalian host cells and the polypeptides are purified by theremoval of host cell proteins; the percent of recombinant polypeptidesis thereby increased in the sample.

The term “composition comprising” a given polynucleotide sequence orpolypeptide refers broadly to any composition containing the givenpolynucleotide sequence or polypeptide. The composition may comprise anaqueous solution containing salts (e.g., NaCl), detergents (e.g., SDS),and other components (e.g., Denhardt's solution, dry milk, salmon spermDNA, etc.).

The term “sample” is used in its broadest sense. In one sense it canrefer to an animal cell or tissue. In another sense, it is meant toinclude a specimen or culture obtained from any source, as well asbiological and environmental samples. Biological samples may be obtainedfrom plants or animals (including humans) and encompass fluids, solids,tissues, and gases. Environmental samples include environmental materialsuch as surface matter, soil, water, and industrial samples. Theseexamples are not to be construed as limiting the sample types applicableto the present invention.

As used herein, a “remote sample” as used in some contexts relates to asample indirectly collected from a site that is not the cell, tissue, ororgan source of the sample. For instance, when sample materialoriginating from the colon or rectum is assessed in a stool sample(e.g., not from a sample taken directly from colorectal tissue), thesample is a remote sample.

As used herein, the terms “patient” or “subject” refer to organisms tobe subject to various tests provided by the technology. The term“subject” includes animals, preferably mammals, including humans. In apreferred embodiment, the subject is a primate. In an even morepreferred embodiment, the subject is a human.

As used herein, the term “kit” refers to any delivery system fordelivering materials. In the context of reaction assays, such deliverysystems include systems that allow for the storage, transport, ordelivery of reaction reagents (e.g., oligonucleotides, enzymes, etc. inthe appropriate containers) and/or supporting materials (e.g., buffers,written instructions for performing the assay etc.) from one location toanother. For example, kits include one or more enclosures (e.g., boxes)containing the relevant reaction reagents and/or supporting materials.As used herein, the term “fragmented kit” refers to delivery systemscomprising two or more separate containers that each contain asubportion of the total kit components. The containers may be deliveredto the intended recipient together or separately. For example, a firstcontainer may contain an enzyme for use in an assay, while a secondcontainer contains oligonucleotides. The term “fragmented kit” isintended to encompass kits containing Analyte specific reagents (ASR's)regulated under section 520(e) of the Federal Food, Drug, and CosmeticAct, but are not limited thereto. Indeed, any delivery system comprisingtwo or more separate containers that each contains a subportion of thetotal kit components are included in the term “fragmented kit.” Incontrast, a “combined kit” refers to a delivery system containing all ofthe components of a reaction assay in a single container (e.g., in asingle box housing each of the desired components). The term “kit”includes both fragmented and combined kits.

Embodiments of the Technology

In aggregate, gastrointestinal cancers account for more cancer mortalitythan any other organ system. Colorectal cancer (CRC) is the second mostfatal cancer, domestically, with >600,000 deaths annually. Whilecolorectal cancers are screened in the United State, compliance is poorgiven the cost, discomfort, and invasiveness of colonoscopy and thedismal performance of the current menu of non-invasive fecal bloodtests. To lessen the burden of CRC on individuals and society, newtesting strategies are needed which are both effective andpatient-friendly. A non-invasive, accurate molecular test utilizingbroadly informative biomarkers may provide a rational approach. A stoolbased assay is one such example. Colorectal cancers and pre-cancers shedcells and DNA into the digestive stream and are ultimately excreted instool. Highly sensitive assays have been used to detect both genetic andepigenetic markers in stools of patients with CRC cancer andprecancerous polyps. In a recent multicenter study, these markers wereincorporated into a stool assay that exhibited sensitivity for CRCessentially equivalent to that of colonoscopy. New markers would be ofincreased value if they proved to be more sensitive, more specific, ormore predictive of lesion site than existing markers. Furthermore,markers would ideally detect the critical precancerouslesions—adenomatous polyps and serrated polyps—in addition to CRC whenapplied to a screening application.

The genomic mechanisms underlying colorectal cancer involve gene andchromosomal abnormalities, including single base mutations, aneuploidy,deletions, translocations, copy number alterations, and expressionchanges. All of these events are being intensively studied using newergenomic technologies, including massively parallel sequencing. However,genetic alterations are proving to be very heterogeneous, and in somerespects random, rather than recurrent. The APC gene, for example, isthe most mutated gene in CRC lesions (˜90%), but the mutation sites arespread throughout 15 coding exons necessitating gene-wide analysis. Thisadds complexity to developing assays with the required performancelevels.

Epigenetic methylation of DNA at cytosine-phosphate-guanine (CpG) islandsites by DNA methyltransferases has been studied as a potential class ofbiomarkers in the tissues of most tumor types. In a biologicallyattractive mechanism, acquired methylation events in promotor regions oftumor suppressor genes are thought to silence expression, contributingto oncogenesis. DNA methylation may be a more chemically andbiologically stable diagnostic tool than RNA or protein expression.Furthermore, aberrant methylation markers are more broadly informativeand sensitive than are individual DNA mutations and offer excellentspecificity.

Clinical applications of highly discriminant markers could have greatimpact. For example, assay of such markers in distant media like stoolor blood find use in accurate screening or diagnostic assays fordetection of colorectal neoplasia.

In experiments conducted during the course of developing embodiments forthe present invention, markers were identified in a case-control studiesby comparing the methylation state of DNA markers from colorectal tissueof subjects with colorectal neoplasia, adenoma, and/or sessile serratedpolyps (SSP) to the methylation state of the same DNA markers fromcontrol subjects (e.g., normal tissue such as normal colon) (see,Examples 3, Table 1A and B).

Additional experiments conducted during the course of developingembodiments for the present invention demonstrated NDRG4, BMP3, OPLAH,FLI1, PDGFD, CHST_7889, SFMBT2_895, SFMBT2_896, SFMBT2_897, CHST2_7890,VAV3, and DTX1 as effective markers for detecting colorectal cancerwithin stool samples (see, Example 1 and Table 1A and B).

Accordingly, provided herein is technology for colorectal cancerscreening markers that provide a high signal-to-noise ratio and a lowbackground level when detected from samples taken from a subject (e.g.,stool sample; a colorectal tissue sample). Markers were identified in acase-control studies by comparing the methylation state of DNA markersfrom colorectal tissue of subjects with colorectal neoplasia and/oradenoma to the methylation state of the same DNA markers from controlsubjects (e.g., normal tissue such as normal colon) (see, Example 1 andTable 1A and B).

Although the disclosure herein refers to certain illustratedembodiments, it is to be understood that these embodiments are presentedby way of example and not by way of limitation.

In particular aspects, the present technology provides compositions andmethods for identifying, determining, and/or classifying a colorectalcancer. In some embodiments, the methods comprise determining themethylation status of at least one methylation marker in a biologicalsample isolated from a subject (e.g., a stool sample or a colorectaltissue sample), wherein a change in the methylation state of the markeris indicative of the presence, class, or site of a colorectal cancer.Particular embodiments relate to markers comprising a differentiallymethylated region (DMR, e.g., a DMR as provided in Table 1A and B) thatare used for diagnosis or screening of neoplastic cellular proliferativedisorders (e.g., colorectal cancer), including early detection duringthe pre-cancerous stages of disease. Furthermore, the markers are usedfor the differentiation of neoplastic from benign cellular proliferativedisorders. In particular aspects, the present technology provides amethod wherein a neoplastic cell proliferative disorder is distinguishedfrom a benign cell proliferative disorder.

The markers of the present technology are particularly efficient indetecting or distinguishing between colorectal proliferative disorders,thereby providing improved means for the early detection,classification, and treatment of colorectal cancer.

In addition to embodiments wherein the methylation analysis of at leastone marker, a region of a marker, or a base of a marker comprising a DMR(e.g., a DMR as provided in Table 1A and B) provided herein is analyzed,the technology also provides panels of markers comprising at least onemarker, region of a marker, or base of a marker comprising a DMR withutility for the detection of colorectal cancers. In addition toembodiments wherein the methylation analysis of at least one marker, aregion of a marker, or a base of a marker comprising a DMR (e.g., a DMRas provided in Table 1A and B) provided herein is analyzed, thetechnology also provides panels of markers comprising any type or classof makers (e.g., complete marker, region of a marker, base of a marker,etc.) having utility for the detection of colorectal cancers (e.g., anexpression marker, amount of DNA, peptide, hemoglobin, etc.).

Some embodiments of the technology are based upon the analysis of theCpG methylation status of at least one marker, region of a marker, orbase of a marker comprising a DMR.

In some embodiments, the present technology provides for the use of abisulfite technique in combination with one or more methylation assaysto determine the methylation status of CpG dinucleotide sequences withinat least one marker comprising a DMR (e.g., a DMR as provided in Table1A and B). Genomic CpG dinucleotides can be methylated or unmethylated(alternatively known as up- and down-methylated respectively). Howeverthe methods of the present invention are suitable for the analysis ofbiological samples of a heterogeneous nature, e.g., a low concentrationof tumor cells, or biological materials therefrom, within a backgroundof a remote sample (e.g., blood, organ effluent, or stool). Accordingly,when analyzing the methylation status of a CpG position within such asample one may use a quantitative assay for determining the level (e.g.,percent, fraction, ratio, proportion, or degree) of methylation at aparticular CpG position.

Determination of the methylation status of CpG dinucleotide sequences inmarkers comprising a DMR has utility both in the diagnosis andcharacterization of colorectal cancers.

Combinations of Markers

In some embodiments, the technology relates to assessing the methylationstate of combinations of markers comprising a DMR from Table 1A and B(e.g., 2, 3, 4, 5, 6, 7, 8, 9, 10) or more markers comprising a DMR. Insome embodiments, assessing the methylation state of more than onemarker increases the specificity and/or sensitivity of a screen ordiagnostic for identifying a colorectal neoplasm in a subject. Inaddition to embodiments wherein the methylation analysis of at least onemarker, a region of a marker, or a base of a marker comprising a DMR(e.g., a DMR as provided in Table 1A and B) provided herein is analyzed,the technology also provides panels of markers comprising any type orclass of makers (e.g., complete marker, region of a marker, base of amarker, etc.) having utility for the detection of colorectal cancers(e.g., an expression marker, amount of DNA, peptide, hemoglobin, etc.).

Various cancers are predicted by various combinations of markers, e.g.,as identified by statistical techniques related to specificity andsensitivity of prediction. The technology provides methods foridentifying predictive combinations and validated predictivecombinations for some cancers.

Methods for Assaying Methylation State

A method for analyzing a nucleic acid for the presence of5-methylcytosine is based upon the bisulfite method described byFrommer, et al. for the detection of 5-methylcytosines in DNA (Frommeret al. (1992) Proc. Natl. Acad. Sci. USA 89: 1827-31) or variationsthereof. The bisulfite method of mapping 5-methylcytosines is based onthe observation that cytosine, but not 5-methylcytosine, reacts withhydrogen sulfite ion (also known as bisulfite). In some embodiments, thereaction is performed according to the following steps: first, cytosinereacts with hydrogen sulfite to form a sulfonated cytosine. Next,spontaneous deamination of the sulfonated reaction intermediate resultsin a sulfonated uracil. Finally, the sulfonated uricil is desulfonatedunder alkaline conditions to form uracil. Detection is possible becauseuracil forms base pairs with adenine (thus behaving like thymine),whereas 5-methylcytosine base pairs with guanine (thus behaving likecytosine). This makes the discrimination of methylated cytosines fromnon-methylated cytosines possible by, e.g., bisulfite genomic sequencing(Grigg G, & Clark S, Bioessays (1994) 16: 431-36; Grigg G, DNA Seq.(1996) 6: 189-98) or methylation-specific PCR (MSP) as is disclosed,e.g., in U.S. Pat. No. 5,786,146.

Some conventional technologies are related to methods comprisingenclosing the DNA to be analyzed in an agarose matrix, therebypreventing the diffusion and renaturation of the DNA (bisulfite onlyreacts with single-stranded DNA), and replacing precipitation andpurification steps with a fast dialysis (Olek A, et al. (1996) “Amodified and improved method for bisulfite based cytosine methylationanalysis” Nucleic Acids Res. 24: 5064-6). It is thus possible to analyzeindividual cells for methylation status, illustrating the utility andsensitivity of the method. An overview of conventional methods fordetecting 5-methylcytosine is provided by Rein, T., et al. (1998)Nucleic Acids Res. 26: 2255.

The bisulfite technique typically involves amplifying short, specificfragments of a known nucleic acid subsequent to a bisulfite treatment,then either assaying the product by sequencing (Olek & Walter (1997)Nat. Genet. 17: 275-6) or a primer extension reaction (Gonzalgo & Jones(1997) Nucleic Acids Res. 25: 2529-31; WO 95/00669; U.S. Pat. No.6,251,594) to analyze individual cytosine positions. Some methods useenzymatic digestion (Xiong & Laird (1997) Nucleic Acids Res. 25:2532-4). Detection by hybridization has also been described in the art(Olek et al., WO 99/28498). Additionally, use of the bisulfite techniquefor methylation detection with respect to individual genes has beendescribed (Grigg & Clark (1994) Bioessays 16: 431-6; Zeschnigk et al.(1997) Hum Mol Genet. 6: 387-95; Feil et al. (1994) Nucleic Acids Res.22: 695; Martin et al. (1995) Gene 157: 261-4; WO 9746705; WO 9515373).

Various methylation assay procedures are known in the art and can beused in conjunction with bisulfite treatment according to the presenttechnology. These assays allow for determination of the methylationstate of one or a plurality of CpG dinucleotides (e.g., CpG islands)within a nucleic acid sequence. Such assays involve, among othertechniques, sequencing of bisulfite-treated nucleic acid, PCR (forsequence-specific amplification), Southern blot analysis, and use ofmethylation-sensitive restriction enzymes.

For example, genomic sequencing has been simplified for analysis ofmethylation patterns and 5-methylcytosine distributions by usingbisulfite treatment (Frommer et al. (1992) Proc. Natl. Acad. Sci. USA89: 1827-1831). Additionally, restriction enzyme digestion of PCRproducts amplified from bisulfite-converted DNA finds use in assessingmethylation state, e.g., as described by Sadri & Hornsby (1997) Nucl.Acids Res. 24: 5058-5059 or as embodied in the method known as COBRA(Combined Bisulfite Restriction Analysis) (Xiong & Laird (1997) NucleicAcids Res. 25: 2532-2534).

COBRA™ analysis is a quantitative methylation assay useful fordetermining DNA methylation levels at specific loci in small amounts ofgenomic DNA (Xiong & Laird, Nucleic Acids Res. 25:2532-2534, 1997).Briefly, restriction enzyme digestion is used to revealmethylation-dependent sequence differences in PCR products of sodiumbisulfite-treated DNA. Methylation-dependent sequence differences arefirst introduced into the genomic DNA by standard bisulfite treatmentaccording to the procedure described by Frommer et al. (Proc. Natl.Acad. Sci. USA 89:1827-1831, 1992). PCR amplification of the bisulfiteconverted DNA is then performed using primers specific for the CpGislands of interest, followed by restriction endonuclease digestion, gelelectrophoresis, and detection using specific, labeled hybridizationprobes. Methylation levels in the original DNA sample are represented bythe relative amounts of digested and undigested PCR product in alinearly quantitative fashion across a wide spectrum of DNA methylationlevels. In addition, this technique can be reliably applied to DNAobtained from microdissected paraffin-embedded tissue samples.

Typical reagents (e.g., as might be found in a typical COBRA™-based kit)for COBRA™ analysis may include, but are not limited to: PCR primers forspecific loci (e.g., specific genes, markers, DMR, regions of genes,regions of markers, bisulfite treated DNA sequence, CpG island, etc.);restriction enzyme and appropriate buffer; gene-hybridizationoligonucleotide; control hybridization oligonucleotide; kinase labelingkit for oligonucleotide probe; and labeled nucleotides. Additionally,bisulfite conversion reagents may include: DNA denaturation buffer;sulfonation buffer; DNA recovery reagents or kits (e.g., precipitation,ultrafiltration, affinity column); desulfonation buffer; and DNArecovery components.

Preferably, assays such as “MethyLight™” (a fluorescence-based real-timePCR technique) (Eads et al., Cancer Res. 59:2302-2306, 1999), Ms-SNuPE™(Methylation-sensitive Single Nucleotide Primer Extension) reactions(Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997),methylation-specific PCR (“MSP”; Herman et al., Proc. Natl. Acad. Sci.USA 93:9821-9826, 1996; U.S. Pat. No. 5,786,146), and methylated CpGisland amplification (“MCA”; Toyota et al., Cancer Res. 59:2307-12,1999) are used alone or in combination with one or more of thesemethods.

The “HeavyMethyl™” assay, technique is a quantitative method forassessing methylation differences based on methylation-specificamplification of bisulfite-treated DNA. Methylation-specific blockingprobes (“blockers”) covering CpG positions between, or covered by, theamplification primers enable methylation-specific selectiveamplification of a nucleic acid sample.

The term “HeavyMethyl™ MethyLight™” assay refers to a HeavyMethyl™MethyLight™ assay, which is a variation of the MethyLight™ assay,wherein the MethyLight™ assay is combined with methylation specificblocking probes covering CpG positions between the amplificationprimers. The HeavyMethyl™ assay may also be used in combination withmethylation specific amplification primers.

Typical reagents (e.g., as might be found in a typical MethyLight™-basedkit) for HeavyMethyl™ analysis may include, but are not limited to: PCRprimers for specific loci (e.g., specific genes, markers, DMR, regionsof genes, regions of markers, bisulfite treated DNA sequence, CpGisland, or bisulfite treated DNA sequence or CpG island, etc.); blockingoligonucleotides; optimized PCR buffers and deoxynucleotides; and Taqpolymerase.

MSP (methylation-specific PCR) allows for assessing the methylationstatus of virtually any group of CpG sites within a CpG island,independent of the use of methylation-sensitive restriction enzymes(Herman et al. Proc. Natl. Acad. Sci. USA 93:9821-9826, 1996; U.S. Pat.No. 5,786,146). Briefly, DNA is modified by sodium bisulfite, whichconverts unmethylated, but not methylated cytosines, to uracil, and theproducts are subsequently amplified with primers specific for methylatedversus unmethylated DNA. MSP requires only small quantities of DNA, issensitive to 0.1% methylated alleles of a given CpG island locus, andcan be performed on DNA extracted from paraffin-embedded samples.Typical reagents (e.g., as might be found in a typical MSP-based kit)for MSP analysis may include, but are not limited to: methylated andunmethylated PCR primers for specific loci (e.g., specific genes,markers, DMR, regions of genes, regions of markers, bisulfite treatedDNA sequence, CpG island, etc.); optimized PCR buffers anddeoxynucleotides, and specific probes.

The MethyLight™ assay is a high-throughput quantitative methylationassay that utilizes fluorescence-based real-time PCR (e.g., TaqMan®)that requires no further manipulations after the PCR step (Eads et al.,Cancer Res. 59:2302-2306, 1999). Briefly, the MethyLight™ process beginswith a mixed sample of genomic DNA that is converted, in a sodiumbisulfite reaction, to a mixed pool of methylation-dependent sequencedifferences according to standard procedures (the bisulfite processconverts unmethylated cytosine residues to uracil). Fluorescence-basedPCR is then performed in a “biased” reaction, e.g., with PCR primersthat overlap known CpG dinucleotides. Sequence discrimination occursboth at the level of the amplification process and at the level of thefluorescence detection process.

The MethyLight™ assay is used as a quantitative test for methylationpatterns in a nucleic acid, e.g., a genomic DNA sample, wherein sequencediscrimination occurs at the level of probe hybridization. In aquantitative version, the PCR reaction provides for a methylationspecific amplification in the presence of a fluorescent probe thatoverlaps a particular putative methylation site. An unbiased control forthe amount of input DNA is provided by a reaction in which neither theprimers, nor the probe, overlie any CpG dinucleotides. Alternatively, aqualitative test for genomic methylation is achieved by probing thebiased PCR pool with either control oligonucleotides that do not coverknown methylation sites (e.g., a fluorescence-based version of theHeavyMethyl™ and MSP techniques) or with oligonucleotides coveringpotential methylation sites.

The MethyLight™ process is used with any suitable probe (e.g. a“TaqMan®” probe, a Lightcycler® probe, etc.) For example, in someapplications double-stranded genomic DNA is treated with sodiumbisulfite and subjected to one of two sets of PCR reactions usingTaqMan® probes, e.g., with MSP primers and/or HeavyMethyl blockeroligonucleotides and a TaqMan® probe. The TaqMan® probe is dual-labeledwith fluorescent “reporter” and “quencher” molecules and is designed tobe specific for a relatively high GC content region so that it melts atabout a 10° C. higher temperature in the PCR cycle than the forward orreverse primers. This allows the TaqMan® probe to remain fullyhybridized during the PCR annealing/extension step. As the Taqpolymerase enzymatically synthesizes a new strand during PCR, it willeventually reach the annealed TaqMan® probe. The Taq polymerase 5′ to 3′endonuclease activity will then displace the TaqMan® probe by digestingit to release the fluorescent reporter molecule for quantitativedetection of its now unquenched signal using a real-time fluorescentdetection system.

Typical reagents (e.g., as might be found in a typical MethyLight™-basedkit) for MethyLight™ analysis may include, but are not limited to: PCRprimers for specific loci (e.g., specific genes, markers, DMR, regionsof genes, regions of markers, bisulfite treated DNA sequence, CpGisland, etc.); TaqMan® or Lightcycler® probes; optimized PCR buffers anddeoxynucleotides; and Taq polymerase.

The QM™ (quantitative methylation) assay is an alternative quantitativetest for methylation patterns in genomic DNA samples, wherein sequencediscrimination occurs at the level of probe hybridization. In thisquantitative version, the PCR reaction provides for unbiasedamplification in the presence of a fluorescent probe that overlaps aparticular putative methylation site. An unbiased control for the amountof input DNA is provided by a reaction in which neither the primers, northe probe, overlie any CpG dinucleotides. Alternatively, a qualitativetest for genomic methylation is achieved by probing the biased PCR poolwith either control oligonucleotides that do not cover known methylationsites (a fluorescence-based version of the HeavyMethyl™ and MSPtechniques) or with oligonucleotides covering potential methylationsites.

The QM™ process can by used with any suitable probe, e.g., “TaqMan®”probes, Lightcycler® probes, in the amplification process. For example,double-stranded genomic DNA is treated with sodium bisulfite andsubjected to unbiased primers and the TaqMan® probe. The TaqMan® probeis dual-labeled with fluorescent “reporter” and “quencher” molecules,and is designed to be specific for a relatively high GC content regionso that it melts out at about a 10° C. higher temperature in the PCRcycle than the forward or reverse primers. This allows the TaqMan® probeto remain fully hybridized during the PCR annealing/extension step. Asthe Taq polymerase enzymatically synthesizes a new strand during PCR, itwill eventually reach the annealed TaqMan® probe. The Taq polymerase 5′to 3′ endonuclease activity will then displace the TaqMan® probe bydigesting it to release the fluorescent reporter molecule forquantitative detection of its now unquenched signal using a real-timefluorescent detection system. Typical reagents (e.g., as might be foundin a typical QM™-based kit) for QM™ analysis may include, but are notlimited to: PCR primers for specific loci (e.g., specific genes,markers, DMR, regions of genes, regions of markers, bisulfite treatedDNA sequence, CpG island, etc.); TaqMan® or Lightcycler® probes;optimized PCR buffers and deoxynucleotides; and Taq polymerase.

The Ms-SNuPE™ technique is a quantitative method for assessingmethylation differences at specific CpG sites based on bisulfitetreatment of DNA, followed by single-nucleotide primer extension(Gonzalgo & Jones, Nucleic Acids Res. 25:2529-2531, 1997). Briefly,genomic DNA is reacted with sodium bisulfite to convert unmethylatedcytosine to uracil while leaving 5-methylcytosine unchanged.Amplification of the desired target sequence is then performed using PCRprimers specific for bisulfite-converted DNA, and the resulting productis isolated and used as a template for methylation analysis at the CpGsite of interest. Small amounts of DNA can be analyzed (e.g.,microdissected pathology sections) and it avoids utilization ofrestriction enzymes for determining the methylation status at CpG sites.

Typical reagents (e.g., as might be found in a typical Ms-SNuPE™-basedkit) for Ms-SNuPE™ analysis may include, but are not limited to: PCRprimers for specific loci (e.g., specific genes, markers, DMR, regionsof genes, regions of markers, bisulfite treated DNA sequence, CpGisland, etc.); optimized PCR buffers and deoxynucleotides; gelextraction kit; positive control primers; Ms-SNuPE™ primers for specificloci; reaction buffer (for the Ms-SNuPE reaction); and labelednucleotides. Additionally, bisulfite conversion reagents may include:DNA denaturation buffer; sulfonation buffer; DNA recovery reagents orkit (e.g., precipitation, ultrafiltration, affinity column);desulfonation buffer; and DNA recovery components.

Reduced Representation Bisulfite Sequencing (RRBS) begins with bisulfitetreatment of nucleic acid to convert all unmethylated cytosines touracil, followed by restriction enzyme digestion (e.g., by an enzymethat recognizes a site including a CG sequence such as MspI) andcomplete sequencing of fragments after coupling to an adapter ligand.The choice of restriction enzyme enriches the fragments for CpG denseregions, reducing the number of redundant sequences that may map tomultiple gene positions during analysis. As such, RRBS reduces thecomplexity of the nucleic acid sample by selecting a subset (e.g., bysize selection using preparative gel electrophoresis) of restrictionfragments for sequencing. As opposed to whole-genome bisulfitesequencing, every fragment produced by the restriction enzyme digestioncontains DNA methylation information for at least one CpG dinucleotide.As such, RRBS enriches the sample for promoters, CpG islands, and othergenomic features with a high frequency of restriction enzyme cut sitesin these regions and thus provides an assay to assess the methylationstate of one or more genomic loci.

A typical protocol for RRBS comprises the steps of digesting a nucleicacid sample with a restriction enzyme such as MspI, filling in overhangsand A-tailing, ligating adaptors, bisulfite conversion, and PCR. See,e.g., et al. (2005) Nat Methods 7: 133-6; Meissner et al. (2005) NucleicAcids Res. 33: 5868-77.

In some embodiments, a quantitative allele-specific real-time target andsignal amplification (QuARTS) assay is used to evaluate methylationstate. Three reactions sequentially occur in each QuARTS assay,including amplification (reaction 1) and target probe cleavage (reaction2) in the primary reaction; and FRET cleavage and fluorescent signalgeneration (reaction 3) in the secondary reaction. When target nucleicacid is amplified with specific primers, a specific detection probe witha flap sequence loosely binds to the amplicon. The presence of thespecific invasive oligonucleotide at the target binding site causescleavase to release the flap sequence by cutting between the detectionprobe and the flap sequence. The flap sequence is complementary to anonhairpin portion of a corresponding FRET cassette. Accordingly, theflap sequence functions as an invasive oligonucleotide on the FRETcassette and effects a cleavage between the FRET cassette fluorophoreand a quencher, which produces a fluorescent signal. The cleavagereaction can cut multiple probes per target and thus release multiplefluorophore per flap, providing exponential signal amplification. QuARTScan detect multiple targets in a single reaction well by using FRETcassettes with different dyes. See, e.g., in Zou et al. (2010)“Sensitive quantification of methylated markers with a novel methylationspecific technology” Clin Chem 56: A199; U.S. Pat. No. 8,361,720 andU.S. patent application Ser. Nos. 13/594,674, 12/946,745, and12/946,752.

In some embodiments, target nucleic acid is isolated from a samplethrough, for example, a direct gene capture. For example, in someembodiments, target nucleic acid is isolated from a sample through, forexample, removal of assay inhibiting agents to produce a clarifiedsample (e.g., with PVP, PVPP and/or the use of a spin filter), captureof a target nucleic acid (if present) from the clarified sample with acapture reagent to form a capture complex, isolating the capture complexfrom the clarified sample, recovering the target nucleic acid (ifpresent) from the capture complex in a nucleic acid solution, andoptionally repeating for isolation of different targets (see, e.g., U.S.patent application Ser. Nos. 14/145,082, 14/145,087, 14/145,070,14/145,056, 13/470,251, 13/470,018, 13/469,999 and 13/469,989).

In some embodiments, fragments of the treated DNA are amplified usingsets of primer oligonucleotides according to the present invention(e.g., see Table 1A and B) and an amplification enzyme. Theamplification of several DNA segments can be carried out simultaneouslyin one and the same reaction vessel. Typically, the amplification iscarried out using a polymerase chain reaction (PCR). Amplicons aretypically 100 to 2000 base pairs in length.

In another embodiment of the method, the methylation status of CpGpositions within or near a marker comprising a DMR (e.g., a DMR asprovided in Table 1A and B) may be detected by use ofmethylation-specific primer oligonucleotides. This technique (MSP) hasbeen described in U.S. Pat. No. 6,265,171 to Herman. The use ofmethylation status specific primers for the amplification of bisulfitetreated DNA allows the differentiation between methylated andunmethylated nucleic acids. MSP primer pairs contain at least one primerthat hybridizes to a bisulfite treated CpG dinucleotide. Therefore, thesequence of said primers comprises at least one CpG dinucleotide. MSPprimers specific for non-methylated DNA contain a “T” at the position ofthe C position in the CpG.

The fragments obtained by means of the amplification can carry adirectly or indirectly detectable label. In some embodiments, the labelsare fluorescent labels, radionuclides, or detachable molecule fragmentshaving a typical mass that can be detected in a mass spectrometer. Wheresaid labels are mass labels, some embodiments provide that the labeledamplicons have a single positive or negative net charge, allowing forbetter delectability in the mass spectrometer. The detection may becarried out and visualized by means of, e.g., matrix assisted laserdesorption/ionization mass spectrometry (MALDI) or using electron spraymass spectrometry (ESI).

In some embodiments, methods for isolating DNA comprise isolation ofnucleic acids as described in U.S. patent application Ser. No.13/470,251 (“Isolation of Nucleic Acids”).

Methods

In some embodiments the technology, methods are provided that comprisethe following steps:

-   -   1) contacting a nucleic acid (e.g., genomic DNA, e.g., isolated        from a body fluids such as a stool sample or colorectal tissue)        obtained from the subject with at least one reagent or series of        reagents that distinguishes between methylated and        non-methylated CpG dinucleotides within at least one marker DMR        (e.g., a DMR as provided in Table 1A and B) and    -   2) detecting a colorectal neoplasm or proliferative disorder        (e.g., colorectal cancer, large adenoma, SSP) (e.g., afforded        with a sensitivity of greater than or equal to 80% and a        specificity of greater than or equal to 80%).

In some embodiments the technology, methods are provided that comprisethe following steps:

-   -   1) contacting a nucleic acid (e.g., genomic DNA, e.g., isolated        from a body fluids such as a stool sample or colorectal tissue)        obtained from the subject with at least one reagent or series of        reagents that distinguishes between methylated and        non-methylated CpG dinucleotides within at least one marker        selected from a chromosomal region having an annotation selected        from the group consisting of NDRG4, BMP3, OPLAH, FLI1, PDGFD,        SFMBT2 (e.g., SFMBT2_895, SFMBT2_896, SFMBT2_897), CHST2 (e.g.,        CHST2_7889, and CHST2_7890), VAV3, and DTX1, and    -   2) detecting colorectal cancer (e.g., afforded with a        sensitivity of greater than or equal to 80% and a specificity of        greater than or equal to 80%).        Preferably, the sensitivity is from about 70% to about 100%, or        from about 80% to about 90%, or from about 80% to about 85%. In        some embodiments, the specificity is from about 70% to about        100%, or from about 80% to about 90%, or from about 80% to about        85%. In some embodiments, the specificity is from about 90% to        100%, 91% to 99%, 93% to 97%, 94% to 96%, 95% to 99%, 96% to        99.5%, 97% to 99.9%, etc.).

Genomic DNA may be isolated by any means, including the use ofcommercially available kits. Briefly, wherein the DNA of interest isencapsulated by a cellular membrane the biological sample should bedisrupted and lysed by enzymatic, chemical or mechanical means. The DNAsolution may then be cleared of proteins and other contaminants, e.g.,by digestion with proteinase K. The genomic DNA is then recovered fromthe solution. This may be carried out by means of a variety of methodsincluding salting out, organic extraction, or binding of the DNA to asolid phase support. The choice of method will be affected by severalfactors including time, expense, and required quantity of DNA. Allsample types comprising neoplastic matter or pre-neoplastic matter aresuitable for use in the present method, e.g., cell lines, histologicalslides, biopsies, paraffin-embedded tissue, body fluids, stool, coloniceffluent, urine, blood plasma, blood serum, whole blood, isolated bloodcells, cells isolated from the blood, and combinations thereof.

The technology is not limited in the methods used to prepare the samplesand provide a nucleic acid for testing. For example, in someembodiments, a DNA is isolated from a stool sample or from blood or froma plasma sample using direct gene capture, e.g., as detailed in U.S.patent application Ser. Nos. 14/145,082, 14/145,087, 14/145,070,14/145,056, 13/470,251, 13/470,018, 13/469,999 and 13/469,989.

The genomic DNA sample is then treated with at least one reagent, orseries of reagents, that distinguishes between methylated andnon-methylated CpG dinucleotides within at least one marker comprising aDMR (e.g., a DMR as provided in Table 1A and B).

In some embodiments, the reagent converts cytosine bases which areunmethylated at the 5′-position to uracil, thymine, or another basewhich is dissimilar to cytosine in terms of hybridization behavior.However in some embodiments, the reagent may be a methylation sensitiverestriction enzyme.

In some embodiments, the genomic DNA sample is treated in such a mannerthat cytosine bases that are unmethylated at the 5′ position areconverted to uracil, thymine, or another base that is dissimilar tocytosine in terms of hybridization behavior. In some embodiments, thistreatment is carried out with bisulfate (hydrogen sulfite, disulfite)followed by alkaline hydrolysis.

The treated nucleic acid is then analyzed to determine the methylationstate of the target gene sequences (at least one gene, genomic sequence,or nucleotide from a marker comprising a DMR, e.g., at least one DMR asprovided in Table 1A and B). In some embodiments, the method of analysisis QuARTS and/or MSP as described herein.

Aberrant methylation, more specifically hypermethylation of a markercomprising a DMR (e.g., a DMR as provided in Table 1A and B) isassociated with a colorectal cancer.

The technology relates to the analysis of any sample associated with acolorectal cancer. For example, in some embodiments the sample comprisesa tissue and/or biological fluid obtained from a patient. In someembodiments, the sample comprises a secretion. In some embodiments, thesample comprises blood, serum, plasma, gastric secretions, colorectaltissue, colorectal tumor tissue, a colorectal biopsy sample, pancreaticjuice, a gastrointestinal biopsy sample, microdissected cells from agastrointestinal biopsy, gastrointestinal cells sloughed into thegastrointestinal lumen, and/or gastrointestinal cells recovered fromstool. In some embodiments, the subject is human. These samples mayoriginate from the upper gastrointestinal tract, the lowergastrointestinal tract, or comprise cells, tissues, and/or secretionsfrom both the upper gastrointestinal tract and the lowergastrointestinal tract. The sample may include cells, secretions, ortissues from the liver, bile ducts, pancreas, stomach, colon, rectum,esophagus, small intestine, appendix, duodenum, polyps, gall bladder,anus, and/or peritoneum. In some embodiments, the sample comprisescellular fluid, ascites, urine, feces, pancreatic fluid, fluid obtainedduring endoscopy, blood, mucus, or saliva. In some embodiments, thesample is a stool sample.

Such samples can be obtained by any variety of techniques. For instance,urine and fecal samples are readily attainable, while blood, ascites,serum, colorectal, or pancreatic fluid samples can be obtainedparenterally by using a needle and syringe, for instance. Cell free orsubstantially cell free samples can be obtained by subjecting the sampleto various techniques including, but not limited to, centrifugation andfiltration. Although it is generally preferred that no invasivetechniques are used to obtain the sample, it still may be preferable toobtain samples such as tissue homogenates, tissue sections, and biopsyspecimens

In some embodiments, the technology provides a method for treating apatient (e.g., a patient with colorectal cancer, with early stagecolorectal cancer, or who may develop colorectal cancer), the methodcomprising determining the methylation state of one or more DMR asprovided herein and administering a treatment to the patient based onthe results of determining the methylation state. The treatment may beconducting a colonoscopy, administration of a pharmaceutical compound, avaccine, performing a surgery, imaging the patient, performing anothertest. Preferably, said use is in a method of clinical screening, amethod of prognosis assessment, a method of monitoring the results oftherapy, a method to identify patients most likely to respond to aparticular therapeutic treatment, a method of imaging a patient orsubject, and a method for drug screening and development.

In some embodiments, clinical cancer prognosis includes determining theaggressiveness of the cancer and the likelihood of tumor recurrence toplan the most effective therapy. If a more accurate prognosis can bemade or even a potential risk for developing the cancer can be assessed,appropriate therapy, and in some instances less severe therapy for thepatient can be chosen. Assessment (e.g., determining methylation state)of cancer biomarkers is useful to separate subjects with good prognosisand/or low risk of developing cancer who will need no therapy or limitedtherapy from those more likely to develop cancer or suffer a recurrenceof cancer who might benefit from more intensive treatments ormonitoring.

In some embodiments of the presently disclosed subject matter, multipledetermination of the biomarkers over time are made to facilitatediagnosis and/or prognosis. A temporal change in the biomarker is usedto predict a clinical outcome, monitor the progression ofgastrointestinal cancer, and/or monitor the efficacy of appropriatetherapies directed against the cancer. In such an embodiment forexample, one might expect to see a change in the methylation state ofone or more biomarkers (e.g., DMR) disclosed herein (and potentially oneor more additional biomarker(s), if monitored) in a biological sampleover time during the course of an effective therapy.

In some embodiments, the methods and compositions of the invention areemployed for treatment or diagnosis of disease at an early stage, forexample, before symptoms of the disease appear.

In some embodiments, a statistical analysis associates a prognosticindicator with a predisposition to an adverse outcome. For example, insome embodiments, a methylation state different from that in a normalcontrol sample obtained from a patient who does not have a cancer cansignal that a subject is more likely to suffer from a cancer thansubjects with a level that is more similar to the methylation state inthe control sample, as determined by a level of statisticalsignificance. Additionally, a change in methylation state from abaseline (e.g., “normal”) level can be reflective of subject prognosis,and the degree of change in methylation state can be related to theseverity of adverse events. Statistical significance is often determinedby comparing two or more populations and determining a confidenceinterval and/or a p value. See, e.g., Dowdy and Wearden, Statistics forResearch, John Wiley & Sons, New York, 1983. Exemplary confidenceintervals of the present subject matter are 90%, 95%, 97.5%, 98%, 99%,99.5%, 99.9% and 99.99%, while exemplary p values are 0.1, 0.05, 0.025,0.02, 0.01, 0.005, 0.001, and 0.0001.

In other embodiments, a threshold degree of change in the methylationstate of a prognostic or diagnostic biomarker disclosed herein (e.g., aDMR) can be established, and the degree of change in the methylationstate of the biamarker in a biological sample is simply compared to thethreshold degree of change in the methylation state. A preferredthreshold change in the methylation state for biomarkers provided hereinis about 5%, about 10%, about 15%, about 20%, about 25%, about 30%,about 50%, about 75%, about 100%, and about 150%. In yet otherembodiments, a “nomogram” can be established, by which a methylationstate of a prognostic or diagnostic indicator (biomarker or combinationof biomarkers) is directly related to an associated disposition towardsa given outcome. The skilled artisan is acquainted with the use of suchnomograms to relate two numeric values with the understanding that theuncertainty in this measurement is the same as the uncertainty in themarker concentration because individual sample measurements arereferenced, not population averages.

In some embodiments, a control sample is analyzed concurrently with thebiological sample, such that the results obtained from the biologicalsample can be compared to the results obtained from the control sample.Additionally, it is contemplated that standard curves can be provided,with which assay results for the biological sample may be compared. Suchstandard curves present methylation states of a biomarker as a functionof assay units, e.g., fluorescent signal intensity, if a fluorescentlabel is used. Using samples taken from multiple donors, standard curvescan be provided for control methylation states of the one or morebiomarkers in normal tissue, as well as for “at-risk” levels of the oneor more biomarkers in tissue taken from donors with metaplasia or fromdonors with a gastrointestinal cancer. In certain embodiments of themethod, a subject is identified as having metaplasia upon identifying anaberrant methylation state of one or more DMR provided herein in abiological sample obtained from the subject. In other embodiments of themethod, the detection of an aberrant methylation state of one or more ofsuch biomarkers in a biological sample obtained from the subject resultsin the subject being identified as having cancer.

The analysis of markers can be carried out separately or simultaneouslywith additional markers within one test sample. For example, severalmarkers can be combined into one test for efficient processing of amultiple of samples and for potentially providing greater diagnosticand/or prognostic accuracy. In addition, one skilled in the art wouldrecognize the value of testing multiple samples (for example, atsuccessive time points) from the same subject. Such testing of serialsamples can allow the identification of changes in marker methylationstates over time. Changes in methylation state, as well as the absenceof change in methylation state, can provide useful information about thedisease status that includes, but is not limited to, identifying theapproximate time from onset of the event, the presence and amount ofsalvageable tissue, the appropriateness of drug therapies, theeffectiveness of various therapies, and identification of the subject'soutcome, including risk of future events.

The analysis of biomarkers can be carried out in a variety of physicalformats. For example, the use of microtiter plates or automation can beused to facilitate the processing of large numbers of test samples.Alternatively, single sample formats may be used to facilitate immediatetreatment and diagnosis in a timely fashion, for example, in ambulatorytransport or emergency room settings.

In some embodiments, the subject is diagnosed as having a colorectalcancer if, when compared to a control methylation state, there is ameasurable difference in the methylation state of at least one biomarkerin the sample. Conversely, when no change in methylation state isidentified in the biological sample, the subject can be identified asnot having colorectal cancer, not being at risk for the cancer, or ashaving a low risk of the cancer. In this regard, subjects having thecancer or risk thereof can be differentiated from subjects having low tosubstantially no cancer or risk thereof. Those subjects having a risk ofdeveloping a colorectal cancer can be placed on a more intensive and/orregular screening schedule, including endoscopic surveillance. On theother hand, those subjects having low to substantially no risk may avoidbeing subjected to an endoscopy, until such time as a future screening,for example, a screening conducted in accordance with the presenttechnology, indicates that a risk of colorectal cancer has appeared inthose subjects.

As mentioned above, depending on the embodiment of the method of thepresent technology, detecting a change in methylation state of the oneor more biomarkers can be a qualitative determination or it can be aquantitative determination. As such, the step of diagnosing a subject ashaving, or at risk of developing, a gastrointestinal cancer indicatesthat certain threshold measurements are made, e.g., the methylationstate of the one or more biomarkers in the biological sample varies froma predetermined control methylation state. In some embodiments of themethod, the control methylation state is any detectable methylationstate of the biomarker. In other embodiments of the method where acontrol sample is tested concurrently with the biological sample, thepredetermined methylation state is the methylation state in the controlsample. In other embodiments of the method, the predeterminedmethylation state is based upon and/or identified by a standard curve.In other embodiments of the method, the predetermined methylation stateis a specifically state or range of state. As such, the predeterminedmethylation state can be chosen, within acceptable limits that will beapparent to those skilled in the art, based in part on the embodiment ofthe method being practiced and the desired specificity, etc.

EXAMPLES Example 1

This example demonstrates NDRG4, BMP3, OPLAH, FLI1, PDGFD, CHST_7889,SFMBT2_895, SFMBT2_896, SFMBT2_897, CHST2_7890, VAV3, and DTX1 aseffective markers for detecting colorectal cancer within stool samples.

Forward and reverse primer and probe sequences for NDRG4, BMP3, OPLAH,FLI1, PDGFD, CHST_7889, SFMBT2_895, SFMBT2_896, SFMBT2_897, CHST2_7890,VAV3, and DTX1 are provided in Table 1A. Table 18 provides informationregarding the methylated marker, chromosome and DMR genomic coordinatesprovided in Table 1A.

Capture probes for each marker were designed to have a meltingtemperature of 75-80° C. and lengths between 25-35 bases (see, Table1C). Additionally, the capture probe hybridizing region was selected tobe within the post-bisulfite QuARTS footprint. Table 1C provides themethylation marker and respective capture probe sequences.

TABLE 1AForward Primer, Probe, Reverse Primer Sequences for Markers Utilizedin Example 1 Methylation Forward Marker Primer Probe SequenceReverse Primer VAV3 TCGGAGTCGA CCACGGACG- CGAAATCGAAAAAACAA GTTTAGCGCCGGCGTTCGCGA/3 AAACCGC (SEQ ID NO: (SEQ ID NO: 1) C6/ (SEQ ID NO: 2) 3)CHST2_7889 CGAGTTCGGT CGCCGAGG- CGAAATACGAACGCGAA AGTTGTACGTTCGTCGATACCG/ ATCTAAAACT (SEQ ID AGA (SEQ ID 3C6/ (SEQ ID NO: 5) NO: 6)NO: 4) SFMBT2_897 GTcGTcGTTcG CCACGGACG- CGAACAAAAACGAACGA AGAGGGTAATCGGTTTCGTT/ ACGAA (SEQ ID NO: 9) (SEQ ID NO: 7) 3C6/ (SEQ ID NO: 8)SFMBT2_896 GCGTTTAGGT CGCCGAGG- CCTAACCAACGCACTCA TGGTCGGAGACTACGAACCGAA/ ACC (Version 1) (SEQ ID (Version1) 3C6/ (Version 1)NO: 12) (SEQ ID NO: 10) (SEQ ID NO: 11) ACGCACTCAACCTACGA GCGTTTAGGTCGCCGAGGCCGAA AC (Version 2) (SEQ ID TGGTCGGAG AAACTAC/3C6/ NO: 51)(Version 2) (Version 2) (SEQ ID (SEQ ID NO: 49) NO: 50) SFMBT2_895TTAGCGAcGT CCACGGACG- CCCAACGCGAAAAAAAC AGTcGTcGTT CGAAAACGCGAA/GC (Version 1) (SEQ ID G (Version 1) 3C6/ (Version 1) NO: 15)(SEQ ID NO: 13) (SEQ ID NO: 14) CCAACGCGAAAAAAACG GCGACGTAGTCCACGGACGGAAA CG (Version 2) (SEQ ID CGTCGTTGT ACGCGAAA/3C6/ NO: 54)(Version 2) (Version 2) (SEQ ID (SEQ ID NO: 52) NO: 53) CHST2_7890GTATAGCGCG CGCCGAGG- AATTACCTACGCTATCC ATTTCGTAGc CGAACATCCTCC/GCCC (SEQ ID NO: 18) G (SEQ ID NO: 3C6/ (SEQ ID NO: 17) 16) OPLAHcGTcGcGTTTT CCACGGACG- CGCGAAAACTAAAAAAC TcGGTTATAC GCACCGTAAAAC/CGCG (SEQ ID NO: 21) G (SEQ ID NO: 3C6/ (SEQ ID NO: 20) 19) PDGFDAAACGTTAAT ACTTTCCGAACGCG GCGAATAAATAAACGTT TTGTTGTTTGT TATAAATACCAATTTGTTGTTTGTTTCG TTCGTT (Version 1) (SEQ ID (Version 1) (SEQ ID NO:(Version 1) NO: 23) 24) (SEQ ID NO: 22) CCACGGACGCGCA ACTTTCCGAACGCGTATGCGAATAAAT CTTCCTTA/3C6/ AAATACC (Version 2) AAACGTTAAT(Version 2) (SEQ ID (SEQ ID NO: 57) TTGTTGTTTGT NO: 56) TTCG (Version 2)(SEQ ID NO: 55) FLI1 GTTGcGAGGT CGCCGAGG- CGCCGCTTACCTTAATA TAGGTTGTAACGTCCATTTAAC/ ATCCC (SEQ ID NO: 27) TCG (SEQ ID 3C6/ (SEQ ID NO: 26)NO: 25) DTX1 GAGTCGCGG CGCCGAGG- GACGCGACGACCGAAA TTTCGTTTTCCGCGTTCGTTTT/ AAC (SEQ ID NO: 30) (SEQ ID NO: 3C6/ (SEQ ID NO: 29) 28)NDRG4 CGGTTTTCGT CCACGGACG CCGCCTTCTACGCGACT TCGTTTTTTC GTTCGTTTATCG/A (SEQ ID NO: 33) G (SEQ ID NO: 3C6/ (SEQ ID NO: 32) 31) BMP3GTTTAATTTTC CGCCGAGG CGCTACGAAACACTCCG GGTTTCGTCG CGGTTTTTTGCG/A (SEQ ID NO: 36) TC (SEQ ID 3C6/ (SEQ ID NO: 35) NO: 34)

TABLE 1B Methylated marker, chromosome and DMR genomic coordinates.Methylated marker Chromosome DMR Genomic Coordinates BMP3 481031173-81031262 NDRG4 16 58463478-58463588 VAV3 1 107964966-107965057CHST2_7889 3 143119424-143119583 SFMBT2_897 10 7410903-7411014SFMBT2_896 10 7410764-7410837 SFMBT2_895 10 7410331-7410490 CHST2_7890 3143119999-143120158 OPLAH 8 144051847-144052006 PDGFD 11104164082-104164186 FLI1 11 128694158-128694317 DTX1 12113056762-113056895

TABLE 1C Methylation marker and respective capture probe sequences.Methylation Marker Capture Probe Sequence VAV3/5AmMC6/GATCGAGGGAGCAGGAGCCGCGGCTGACGG GTCGCG (SEQ ID NO: 37) CHST2_7889/5AmMC6/CGGTGCCGAGAGCTGCCAGAGAGTTGGATT CTGCG (SEQ ID NO: 38) SFMBT2_897/5AmMC6/GCGAGCGGGCAAGGGCGGGCGAGC (SEQ ID NO: 39) SFMBT2_896/5AmMC6/ACCTGCGGGCCGAAGGGCTGCTCTCCGG (SEQ ID NO: 40) SFMBT2_895/5AmMC6/AGGAGACGCGGGAGCGCGGGGTAGGTAGC (SEQI D NO: 41) CHST2_7890/5AmMC6/GGCATCCTCCCGGTGATGGAAGCAGCCGCC GCCG (SEQ ID NO: 42) OPLAH/5AmMC6/GGAAGGCGCGGCGCTCGGTCAGCACTGACA GCAG (SEQ ID NO: 43) PDGFD/5AmMC6/TCGCCGAGCTCTCCCCAAACTTCCTGCATG CTGAACTTT (SEQ ID NO: 44) FLI1/5AmMC6/CCGTCCATTTGGCCAAGTCTGCAGCCGAGC C (SEQ ID NO: 45) DTX1/5AmMC6/CTGCGTCCGTCCGTCGGCCGGGCAGTCTGT CCA (SEQ ID NO: 46) NDRG4/5AmMC6/TCCCTCGCGCGTGGCTTCCGCCTTCTGCGCGGCTGGGGTGCCCGGTGG (SEQ ID NO: 47) BMP3/5AmMC6/GCGGGACACTCCGAAGGCGCAAGGAG (SEQ ID NO: 48)

Each capture probe was synthesized with a 5′-NH2 modification to allowcoupling to magnetic particles that are —COOH modified through standardcarbodiimide coupling chemistry. Also, a complementary oligonucleotideto the capture probe was synthesized to contain a 5′-Cy3 label. Thiscomplementary probe was used to confirm capture probe coupling tomagnetic particles.

To test the capture efficiency of each probe as well as assess markerperformance, two stool pools of normal and cancer patients were made.The cancer stool pool came from 6 patients (3 are CRC, 1 is an AA and 2unknowns). Similarly, the normal stool came from 6 non-CRC normalpatients. The stool was prepared by mixing the supernatant afterhomogenate centrifugation. Pooled supernatant was then aliquoted intosingle capture samples containing 14 mL supernatants.

Capture probes were designed to have a melting temperature of 75-80° C.and lengths between 25-35 bases. Additionally, the capture probehybridizing region was selected to be within the post-bisulfite QuARTSfootprint.

To perform capture, capture beads (magnetic particles with covalentlylinked capture probes) for two markers plus ACTB capture beads werepooled to form a triplex capture bead pool.

Capture was performed on triplicates 14 mL of positive and normal stoolsupernatants (exception was VAV3 and DTX1 were performed in duplicatessince pool was running low).

After completion of capture, stool DNA was eluted from capture beadswith 0.1 N NaOH at 42° C. for 20 minutes followed by bisulfiteconversion at 56° C. for 1 hour using ammonium bisulfite. Stool DNA wasthen desulphonated and purified using silica coated magnetic beads andeluted in 70 uL of 10 mM Tris-HCl, pH 8, 0.1 mM EDTA. 10 uL of eluentwas then tested and quantified in QuARTS assays.

To be able to quantify samples, pUC57 plasmids with DNA insertscorresponding to the QuARTS footprints were used. The DNA inserts wereflanked with EcoRI sites to allow linearization and quantification usingabsorbance at 260 nm.

To allow for back calculation of strands in the eluted samples, QuARTSassays were performed on the 10 uL of eluents and serial dilutions ofthe digested plasmids.

Table 1D shows the obtained results for each of the tested markers.These results show that the methylation markers had high stranddifferences between positive and normal stool pool indicating thesemarkers are candidates for CRC detection in stool.

TABLE 1D Methylation Positives Pool Normal Pool Fold differences Markeraverage strands average strands (Positive/Normal) NDRG4 1,568 140 11.2BMP3 395 8 51.4 OPLAH 840 279 3.0 FLI1 1,715 167 10.2 PDGFD 843 67 12.6CHST2_7889 945 17 56.4 SFMBT2_895 837 5 152.3 SFMBT2_896 856 150 5.7SFMBT2_897 844 45 18.7 CHST2_7890 1,396 62 22.6 VAV3 367 21 17.9 DTX1751 105 7.2

Example 2

Exemplary Procedure for Screening for a Colorectal Cancer within a HumanSubject.

Contact a nucleic acid (e.g., genomic DNA, e.g., isolated from a bodyfluids such as a stool sample or colorectal tissue) obtained from ahuman subject with at least one reagent or series of reagents thatdistinguishes between methylated and non-methylated CpG dinucleotideswithin at least one marker DMR selected from:

-   -   NDRG4, BMP3, OPLAH, FLI1, PDGFD, SFMBT2 (e.g., SFMBT2_895,        SFMBT2_896, SFMBT2_897), CHST2 (e.g., CHST2_7889, and        CHST2_7890), VAV3, and DTX1 (as recited in Table 1A and B).

Identifying the subject as having a colorectal cancer when themethylation state of the marker is different than a methylation state ofthe marker assayed in a subject that does not have a neoplasm.

All publications and patents mentioned in the above specification areherein incorporated by reference in their entirety for all purposes.Various modifications and variations of the described compositions,methods, and uses of the technology will be apparent to those skilled inthe art without departing from the scope and spirit of the technology asdescribed. Although the technology has been described in connection withspecific exemplary embodiments, it should be understood that theinvention as claimed should not be unduly limited to such specificembodiments. Indeed, various modifications of the described modes forcarrying out the invention that are obvious to those skilled inpharmacology, biochemistry, medical science, or related fields areintended to be within the scope of the following claims.

We claim:
 1. A method comprising: extracting genomic DNA from abiological sample of a human individual suspected of having or havingneoplasm, wherein the neoplasm is pre-cancerous, colorectal cancer, alarge colorectal adenoma, or a sessile serrated polyp, treating theextracted genomic DNA with bisulfite, amplifying the bisulfite-treatedgenomic DNA using primers specific for eight or less markers at leastincluding CHST2 and VAV3, and measuring methylation level of one or moreCpG sites for CHST2 and VAV3 by methylation specific PCR, quantitativemethylation specific PCR, methylation sensitive DNA restriction enzymeanalysis, or bisulfite genomic sequencing PCR.
 2. The method of claim 1,wherein the biological sample is a stool sample, a tissue sample, acolorectal cyst sample, a colorectal tumor sample, a blood sample, or aurine sample.
 3. The method of claim 1, wherein the primers specific forVAV3 consist of SEQ ID NOS: 1 and 3, and wherein the primers specificfor CHST2 consist of SEQ ID NOS: 4 and 6 or SEQ ID NOS: 16 and
 18. 4.The method of claim 1, further comprising amplifying thebisulfite-treated genomic DNA using primers specific for PDGFD, andmeasuring methylation level of one or more CpG sites for PDGFD bymethylation specific PCR, quantitative methylation specific PCR,methylation sensitive DNA restriction enzyme analysis, or bisulfitegenomic sequencing PCR.
 5. The method of claim 4, wherein the primersspecific for PDGFD consist of SEQ ID NOS: 55 and 57.